Wireless communication method, system and semiconductor device

Abstract

The present invention relates to the field of wireless communication technology, and in particular to a wireless communication method, system and semiconductor device. The method comprises the following steps: obtaining a wireless communication channel set between user devices and performing real-time monitoring of device communication requirements and channel conditions to obtain device wireless communication requirements and wireless communication channel conditions for each wireless communication channel between user devices; performing channel grouping processing and wireless communication spectrum perception analysis on the wireless communication channel set between user devices to obtain spectrum usage channels for each group of user device wireless communication channels; summarizing and analyzing network loads and interference levels of wireless communication channel subgroups between user devices, and performing dynamic spectrum resource allocation optimization processing, while performing user communication optimization processing on corresponding wireless communication channel subgroups to obtain wireless communication optimization results between user devices. The present invention can achieve higher data transmission rates and signal stability.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to a wireless communication method, system and semiconductor device. Background Art

[0002] Wireless communication technology plays a vital role in modern society, and its application scope covers many fields such as mobile communications, wireless networks, and the Internet of Things. In current technologies, traditional wireless communication methods usually use frequency division multiplexing (FDM) or time division multiplexing (TDM) technology to optimize spectrum utilization, and flexibly adjust the allocation of spectrum resources according to the real-time network load and spectrum usage. This method can effectively alleviate the problem of tight spectrum resources and improve the utilization of spectrum. By using multiple antennas at the transmitter and receiver at the same time, MIMO technology significantly improves the data transmission rate and signal quality of wireless communication systems. This technology can effectively deal with the signal attenuation and interference problems caused by multipath propagation, thereby improving the reliability of communication, and by adopting advanced signal processing algorithms, such as adaptive filtering and interference cancellation technology, real-time analysis and processing of interference components in the signal, and intelligent interference suppression measures, thereby improving the clarity of the signal and transmission efficiency. However, although the existing wireless communication methods have made significant progress, they still face many challenges, including signal interference and data transmission rate limitations, and often cannot provide stable and efficient connections. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a wireless communication method, system and semiconductor device to solve at least one of the above technical problems.

[0004] To achieve the above object, a wireless communication method comprises the following steps:

[0005] Step S1: obtaining a wireless communication channel set between user devices, and performing real-time monitoring of device communication requirements and channel conditions of the wireless communication channel set between user devices through a base station to obtain device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices;

[0006] Step S2: performing channel grouping processing on each wireless communication channel set between user devices based on the device wireless communication demand of each wireless communication channel between user devices and the wireless communication channel condition to obtain a wireless communication channel subgroup between user devices; performing wireless communication spectrum sensing analysis on the wireless communication channel subgroup between user devices to obtain a spectrum usage channel of each group of user equipment wireless communication channels;

[0007] Step S3: performing a summary analysis of network load and interference level on the wireless communication channel subgroups between user equipments through the base station to obtain the total network load and the total wireless environment interference level of each group of user equipment wireless communication channels;

[0008] Step S4: Based on the total network load of the wireless communication channels of each group of user equipment and the total interference level of the wireless environment, the spectrum usage channels of the wireless communication channels of each group of user equipment are dynamically optimized for spectrum resource allocation to obtain the optimized channels for wireless communication spectrum resources of each group of user equipment; according to the optimized channels for wireless communication spectrum resources of each group of user equipment, user communication optimization processing is performed on the corresponding wireless communication channel subgroups to obtain the wireless communication optimization results between user equipment.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: Acquire a wireless communication channel set between user equipments;

[0011] Step S12: performing device communication demand analysis on each wireless communication channel in the wireless communication channel set between user devices through the base station to obtain device wireless communication demand of each wireless communication channel between user devices;

[0012] Step S13: performing real-time monitoring of the channel signal strength of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal strength of each wireless communication channel between user equipments;

[0013] Step S14: performing real-time monitoring of the channel utilization rate of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the channel utilization rate of each wireless communication channel between user equipments;

[0014] Step S15: taking the signal strength and channel utilization rate of each wireless communication channel between user equipments as the channel condition of the user equipments, so as to obtain the wireless communication channel condition of each wireless communication channel between user equipments.

[0015] Further, step S12 includes the following steps:

[0016] Step S121: performing resource transmission efficiency analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the resource transmission efficiency of each wireless communication channel between user equipments;

[0017] Step S122: performing signal stability statistical analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal stability level of each wireless communication channel between user equipments;

[0018] Step S123: performing channel adaptability evaluation and analysis on each wireless communication channel in the wireless communication channel set between user equipments based on the resource transmission efficiency and signal stability of each wireless communication channel between user equipments, so as to obtain the channel adaptability of each wireless communication channel between user equipments;

[0019] Step S124: performing communication demand intensity distribution analysis on each wireless communication channel in the wireless communication channel set between user equipments according to the channel adaptability of each wireless communication channel between user equipments, so as to generate a communication demand intensity distribution graph of each wireless communication channel between user equipments;

[0020] Step S125: Perform interactive interference impact analysis based on the communication demand intensity distribution diagram of each wireless communication channel between user devices to obtain the communication demand interference impact matrix of each wireless communication channel between user devices; based on the communication demand interference impact matrix of each wireless communication channel between user devices, perform communication demand adjustment analysis on each corresponding wireless communication channel to obtain the device wireless communication demand of each wireless communication channel between user devices.

[0021] Further, step S2 includes the following steps:

[0022] Step S21: performing demand alignment and matching mapping on the device wireless communication demand of each wireless communication channel between user devices based on the wireless communication channel condition of each wireless communication channel between user devices, so as to generate a communication demand alignment and matching matrix of each wireless communication channel under the communication channel condition;

[0023] Step S22: performing channel adaptability evaluation and analysis on each corresponding wireless communication channel according to the communication demand alignment matching matrix of each wireless communication channel under the communication channel conditions, and obtaining a wireless communication channel demand adaptability score table;

[0024] Step S23: performing a channel condition coupling degree analysis on the wireless communication channel demand adaptability score table based on the wireless communication channel condition of each wireless communication channel between user equipments, so as to obtain a channel condition coupling degree map between different wireless communication channels;

[0025] Step S24: performing channel grouping processing on each wireless communication channel in the wireless communication channel set between user equipments based on the channel condition coupling degree graph between different wireless communication channels, so as to obtain a wireless communication channel subgroup between user equipments;

[0026] Step S25: performing wireless communication spectrum sensing analysis on the wireless communication channel subgroups between the user equipments to obtain the spectrum usage channels of the wireless communication channels of each group of user equipments.

[0027] Further, step S24 includes the following steps:

[0028] Step S241: performing a channel coupling minimization group analysis on each wireless communication channel in the wireless communication channel set between user equipments based on the channel condition coupling degree graph between different wireless communication channels, so as to generate an initial group list for minimizing the coupling degree of wireless communication channels;

[0029] Step S242: performing intra-group demand balance evaluation and analysis on each wireless communication channel group in the wireless communication channel coupling degree minimization initial group list to obtain communication demand distribution balance status data of each wireless communication channel group;

[0030] Step S243: performing channel grouping optimization and division processing on the wireless communication channel coupling degree minimization initial grouping list according to the communication demand distribution balance status data of each wireless communication channel group, so as to obtain wireless communication channel subgroups between user equipments.

[0031] Further, step S25 includes the following steps:

[0032] Step S251: performing spectrum usage distribution analysis on wireless communication channel subgroups between user equipments to generate a spectrum usage distribution map of wireless communication channels of each group of user equipments;

[0033] Step S252: performing frequency band usage density and signal strength statistical analysis on each frequency band in the spectrum usage distribution map of the wireless communication channels of each group of user equipment, so as to obtain the usage density and signal strength of each frequency band in the spectrum usage map of the communication channels of each group of user equipment;

[0034] Step S253: performing spectrum activity intensity evaluation and analysis on the spectrum usage distribution map of the wireless communication channels of each group of user equipment based on the usage density and signal strength of each frequency band in the spectrum usage map of the communication channels of each group of user equipment, so as to obtain the spectrum usage activity intensity of the wireless communication channels of each group of user equipment;

[0035] Step S254: performing spectrum resource usage allocation processing on the corresponding user equipment wireless communication channels according to the spectrum usage activity intensity of each group of user equipment wireless communication channels, and obtaining a spectrum resource usage allocation strategy for each group of user equipment wireless communication channels;

[0036] Step S255: determining the spectrum usage channel for the wireless communication channel subgroups between the user equipments based on the spectrum resource usage allocation strategy for the wireless communication channels of each group of user equipments, so as to obtain the spectrum usage channel for the wireless communication channels of each group of user equipments.

[0037] Further, step S3 includes the following steps:

[0038] Step S31: performing channel network load statistics analysis on each wireless communication channel in the wireless communication channel subgroup between user equipments through the base station to obtain the network load of each wireless communication channel in the channel subgroup;

[0039] Step S32: performing network load aggregation processing on the network load of each wireless communication channel in the channel subgroup to obtain the total network load of the wireless communication channels of each group of user equipment;

[0040] Step S33: performing load distribution characteristic analysis according to the network load of each wireless communication channel in the channel subgroup, and obtaining a network load distribution characteristic map of each wireless communication channel in the channel subgroup;

[0041] Step S34: performing interference source identification analysis on the network load distribution characteristic map of each wireless communication channel in the channel subgroup to obtain the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup; performing interference influence range evaluation analysis on the corresponding wireless communication channel based on the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup to obtain the load distribution interference influence range of each wireless communication channel in the channel subgroup;

[0042] Step S35: quantify and summarize the interference level of each wireless communication channel in the wireless communication channel subgroup between user devices according to the load distribution interference influence range of each wireless communication channel in the channel subgroup, and obtain the total amount of wireless environment interference level of each group of user equipment wireless communication channels.

[0043] Further, step S4 includes the following steps:

[0044] Step S41: mapping the total network load of each group of user equipment wireless communication channels and the total amount of wireless environment interference level to load and interference response feature vectors to obtain the load interference response feature vectors of each group of user equipment wireless communication channels;

[0045] Step S42: Designing a load interference response condition for the load interference response characteristic vector of each group of user equipment wireless communication channels to generate a load interference response condition for each group of user equipment wireless communication channels;

[0046] Step S43: performing spectrum resource optimization demand analysis on the spectrum usage channel of each group of user equipment wireless communication channels based on the load interference response condition of each group of user equipment wireless communication channels, and obtaining the spectrum resource optimization demand of each group of user equipment wireless communication spectrum usage channel;

[0047] Step S44: performing dynamic spectrum resource allocation optimization processing on the spectrum usage channel of the wireless communication channel of each group of user equipment according to the spectrum resource optimization demand of the wireless communication spectrum usage channel of each group of user equipment, so as to obtain the wireless communication spectrum resource optimization channel of each group of user equipment;

[0048] Step S45: performing user communication optimization processing on the corresponding wireless communication channel subgroup according to the wireless communication spectrum resource optimization channel of each group of user equipment to obtain the wireless communication optimization result between the user equipments.

[0049] Furthermore, the present invention also provides a wireless communication system for executing the wireless communication method as described above, the wireless communication system comprising:

[0050] A wireless communication channel real-time monitoring module is used to obtain a wireless communication channel set between user devices, and perform real-time monitoring of device communication requirements and channel conditions on the wireless communication channel set between user devices through a base station to obtain device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices;

[0051] The channel grouping and communication spectrum sensing module is used to perform channel grouping processing on each wireless communication channel in the wireless communication channel set between user devices based on the device wireless communication requirements of each wireless communication channel between user devices and the wireless communication channel conditions, so as to obtain a wireless communication channel subgroup between user devices; perform wireless communication spectrum sensing analysis on the wireless communication channel subgroup between user devices, so as to obtain a spectrum usage channel of each group of user equipment wireless communication channels;

[0052] A channel network load and interference level summary module is used to summarize and analyze the network load and interference level of the wireless communication channel subgroups between user equipments through the base station, so as to obtain the total network load of the wireless communication channel of each group of user equipments and the total amount of wireless environment interference level;

[0053] The spectrum channel resource and user communication optimization module is used to perform dynamic spectrum resource allocation optimization processing on the spectrum usage channels of each group of user equipment wireless communication channels based on the total network load of each group of user equipment wireless communication channels and the total amount of wireless environment interference level, so as to obtain the wireless communication spectrum resource optimization channel of each group of user equipment; according to the wireless communication spectrum resource optimization channel of each group of user equipment, the corresponding wireless communication channel subgroup is optimized to obtain the wireless communication optimization result between user devices.

[0054] Furthermore, the present invention also provides a semiconductor device, comprising a processing unit, a storage unit, and a computer control program stored in the storage unit and executable on the processing unit, for executing the wireless communication method as described above.

[0055] Beneficial effects of the present invention:

[0056] 1. Compared with the prior art, the wireless communication method proposed in the present invention has the beneficial effect of obtaining the wireless communication channel set between user devices. The key to this step is to establish a comprehensive channel resource library, which lays the foundation for subsequent communication optimization and management. By comprehensively identifying and listing all wireless channel sets, the overall picture of the current communication environment can be grasped at a macro level, which not only helps to accurately understand the communication paths between devices, but also provides the necessary data support for subsequent channel analysis and optimization. After obtaining a complete channel set, the base station can effectively evaluate the utilization, quality and demand of the channel, and provide a basis for formulating more accurate communication strategies. For example, during peak network load periods, overloaded channels can be quickly identified and adjusted or optimized, which not only improves the utilization efficiency of network resources, but also provides more stable and reliable communication services in high-density environments. By using the base station to analyze the device communication demand of each wireless communication channel in the wireless communication channel set between user devices, it can help identify the specific demand of each channel, thereby providing data support for channel allocation and priority setting, and can also reveal the dynamic changes in communication demand, support real-time adjustment of strategies, and have a deep understanding of the bandwidth requirements, delay requirements and data transmission volume of each device. This information is crucial for optimizing network configuration and improving communication efficiency, and it also helps to predict and prevent network congestion problems, improve network stability and user satisfaction. At the same time, by using the base station to monitor the channel signal strength and channel utilization of each wireless communication channel in the wireless communication channel set between user devices in real time, it is possible to obtain channel health status information at any time, identify signal attenuation or interference problems in a timely manner, and accurately evaluate the usage of each channel, thereby identifying resource bottlenecks and idle channels, thereby achieving efficient resource management and allocation. By also using the signal strength and channel utilization of each wireless communication channel between user devices as the channel conditions of the user devices, it can provide an important basis for the optimization management of the wireless communication network. The key to this step is to comprehensively consider the quality and load of the channel and formulate a more reasonable and efficient communication strategy. By combining signal strength with channel utilization, we can fully understand the actual status of each channel, thereby optimizing channel allocation and use. Such comprehensive analysis makes channel management more scientific and accurate, helps improve network performance, reduce communication interruptions and delays, and improve user experience, thereby ensuring the stability and reliability of the network under different load conditions.Secondly, by performing channel grouping processing on each wireless communication channel set between user devices based on the device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices, the significant effect of this processing process is that it can effectively organize and manage wireless communication channels. Channel grouping is based on the coupling degree of channel conditions, and channels with similar conditions or working together can be grouped in the same group, thereby optimizing channel management and scheduling, helping to reduce interference between channels and improve resource utilization efficiency. Wireless communication spectrum perception analysis is also performed on the wireless communication channel subgroups between user devices. The key of this step is to provide a comprehensive understanding and utilization of wireless spectrum resources, which helps to identify the current use of spectrum resources, including idle spectrum and occupied spectrum, which enables more efficient allocation of spectrum resources and avoids waste and conflict of spectrum resources, thereby providing data support for the optimal configuration of spectrum resources, enabling the network to operate in an efficient and stable state, thereby providing stable and efficient wireless communication connections. Then, by using the base station, channel network load statistics analysis is performed on each wireless communication channel in the wireless communication channel subgroup between user devices. The main purpose of this process is to accurately capture and quantify the network load of each wireless channel. By collecting and analyzing the real-time data of each channel, the usage of each channel can be monitored in real time, including data transmission volume, signal strength, interference, etc. This detailed statistical analysis helps to identify the hot spots of network load, thereby achieving effective management and allocation of resources. Through the statistics of channel network load, we can have a clear understanding of the load situation of each channel, and timely discover and solve potential overload problems. This not only improves the efficiency of the wireless communication network, but also effectively reduces the communication quality problems caused by uneven load, and performs network load summary processing. The core of this step is to integrate and analyze the load data of each channel to form a comprehensive network load profile. Through summary processing, the overall load level of the entire subgroup can be identified, revealing the load differences and overall load distribution between different channels, thereby effectively improving the reliability and stability of the network. In addition, the interference level of each wireless communication channel in the wireless communication channel subgroup between user devices is quantitatively calculated and summarized. This process provides an objective interference evaluation indicator by quantifying the interference level, providing data support for network optimization and management. The results of the quantitative calculation can reveal the interference level of the entire wireless environment, thereby helping to understand and evaluate the overall impact of interference on the network. Through summary processing, interference hotspots in the network can be identified and a basis can be provided for subsequent optimization measures. It can also help with long-term network monitoring and trend analysis, detect potential interference problems in advance, and take effective prevention and improvement measures, thereby improving the overall stability of the network and user satisfaction.Finally, by dynamically optimizing the spectrum resource allocation of the spectrum usage channel of each group of user equipment wireless communication channels based on the total network load of each group of user equipment wireless communication channels and the total interference level of the wireless environment, the main purpose is to achieve dynamic adjustment of spectrum resources, making resource allocation more flexible and efficient. Through dynamic allocation, spectrum resources can be adjusted according to actual demand, so as to achieve more accurate resource management. This dynamic optimization can not only respond quickly when the network load changes, but also effectively reduce the waste of resources, improve the utilization of spectrum, improve the user's communication experience, and enhance the overall performance and service quality of the wireless communication network, so as to better solve the problems of wireless communication signal interference and data transmission rate limitation. In addition, user communication optimization processing is performed on the corresponding wireless communication channel subgroups according to the wireless communication spectrum resource optimization channel of each group of user equipment. The key to this process is to achieve specific user communication optimization. By processing the optimized channel, personalized communication optimization can be performed for each user equipment to improve communication quality and efficiency. The optimization processing can improve signal strength, reduce latency, and reduce interference, so that the user's communication experience is significantly improved. This process can also improve the overall capacity and performance of the network, so that more users can get better services in the network, thereby improving overall user satisfaction and the competitiveness of the wireless communication network.

[0057] 2. The wireless communication system proposed in the present invention is generally composed of a wireless communication channel real-time monitoring module, a channel grouping and communication spectrum sensing module, a channel network load and interference level summary module, and a spectrum channel resource and user communication optimization module. It can implement any wireless communication method described in the present invention, and is used to combine the operations between computer programs running on each module to implement the wireless communication method. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient wireless communication process, thereby simplifying the operation process of the wireless communication system. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0059] Figure 1 A schematic diagram of the steps of the wireless communication method of the present invention;

[0060] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0061] Figure 3 for Figure 2 Detailed step flow chart of step S12 in FIG. DETAILED DESCRIPTION

[0062] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0063] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0064] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0065] To achieve this, please refer to Figures 1 to 3 The present invention provides a wireless communication method, the method comprising the following steps:

[0066] Step S1: obtaining a wireless communication channel set between user devices, and performing real-time monitoring of device communication requirements and channel conditions of the wireless communication channel set between user devices through a base station to obtain device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices;

[0067] Step S2: performing channel grouping processing on each wireless communication channel set between user devices based on the device wireless communication demand of each wireless communication channel between user devices and the wireless communication channel condition to obtain a wireless communication channel subgroup between user devices; performing wireless communication spectrum sensing analysis on the wireless communication channel subgroup between user devices to obtain a spectrum usage channel of each group of user equipment wireless communication channels;

[0068] Step S3: performing a summary analysis of network load and interference level on the wireless communication channel subgroups between user equipments through the base station to obtain the total network load and the total wireless environment interference level of each group of user equipment wireless communication channels;

[0069] Step S4: Based on the total network load of the wireless communication channels of each group of user equipment and the total interference level of the wireless environment, the spectrum usage channels of the wireless communication channels of each group of user equipment are dynamically optimized for spectrum resource allocation to obtain the optimized channels for wireless communication spectrum resources of each group of user equipment; according to the optimized channels for wireless communication spectrum resources of each group of user equipment, user communication optimization processing is performed on the corresponding wireless communication channel subgroups to obtain the wireless communication optimization results between user equipment.

[0070] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of a wireless communication method according to the present invention. In this example, the wireless communication method includes the following steps:

[0071] Step S1: obtaining a wireless communication channel set between user devices, and performing real-time monitoring of device communication requirements and channel conditions of the wireless communication channel set between user devices through a base station to obtain device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices;

[0072] In an embodiment of the present invention, a base station is used to scan the wireless communication channels between user devices to establish a set of all available wireless communication channels. This can be achieved by using the following method: a spectrum scanner is used to perform a full-band scan of the surrounding frequency bands between user devices to identify all wireless communication channels, and the scanned channel information is sorted out, including the frequency range, bandwidth and other technical parameters of the channel, to form a detailed channel list, thereby obtaining a wireless communication channel set between user devices. A base station is used to perform a detailed device communication demand analysis on each wireless communication channel in the wireless communication channel set, so as to collect the communication request data of the user device through the base station, including data transmission volume, delay requirements, service quality requirements, etc., including calculating the channel bandwidth, delay and throughput and other indicators, to determine whether the user device requirements can be met, so as to record the device communication demand data of each channel, thereby obtaining the device wireless communication demand of each wireless communication channel between user devices. At the same time, the signal strength of each wireless communication channel in the wireless communication channel set between user devices is monitored in real time by using the base station, so as to monitor the signal strength of each wireless communication channel in real time, so as to evaluate and analyze the actual signal quality of the wireless communication channel, and the channel utilization rate of each wireless communication channel in the wireless communication channel set between user devices is monitored in real time by using the base station, so as to perform real-time statistics on the traffic of each channel through the traffic monitoring equipment (such as network traffic analyzer) configured by the base station, collect the transmission volume, frequency and other relevant information of the data packet, and also perform real-time analysis on the utilization of each channel through the base station. This process involves real-time collection, recording and calculation of data traffic to ensure the accuracy of channel utilization. Then, the signal strength and channel utilization rate of each wireless communication channel between user devices previously monitored in real time are integrated, and the channel condition index of each wireless communication channel is designed and generated according to different numerical combinations of signal strength and channel utilization rate, so as to finally obtain the wireless communication channel condition of each wireless communication channel between user devices.

[0073] Step S2: performing channel grouping processing on each wireless communication channel set between user devices based on the device wireless communication demand of each wireless communication channel between user devices and the wireless communication channel condition to obtain a wireless communication channel subgroup between user devices; performing wireless communication spectrum sensing analysis on the wireless communication channel subgroup between user devices to obtain a spectrum usage channel of each group of user equipment wireless communication channels;

[0074] In an embodiment of the present invention, by combining the wireless communication channel conditions (including signal strength and channel utilization under different numerical combination conditions) of each wireless communication channel between user devices obtained by previous analysis, the device wireless communication requirements of each wireless communication channel between the corresponding user devices are aligned and matched. This process can be completed by constructing a multidimensional matrix, in which each row represents a wireless communication channel condition and each column represents a communication requirement. In the matrix, the matching value between the channel condition and the communication requirement is filled in, and a mathematical model such as linear programming or an optimization algorithm is used to map these data into a matrix, and the communication requirement alignment matching matrix generated by combining the previous mapping is used to evaluate and analyze the channel adaptability of each corresponding wireless communication channel. The specific operation includes using an adaptability scoring model, such as a weight-based scoring system or a machine learning algorithm, to convert the matching value of each channel into an adaptability score. The scoring criteria can be set, such as converting the signal strength and noise level requirements into an adaptability score. On this basis, a corresponding demand adaptability scoring table is statistically generated, and the table contains the adaptability score of each wireless channel. At the same time, by combining the wireless communication channel conditions of each wireless communication channel between user devices obtained by previous analysis, a coupling analysis tool (such as correlation analysis or clustering algorithm) is used to perform a statistical analysis of the coupling degree of the demand adaptability score under the corresponding communication channel conditions in the demand adaptability score table, so as to construct a channel condition coupling degree graph using a graph theory method, wherein the nodes represent wireless channels, and the weights of the edges represent the coupling degrees between channels. The specific operation includes calculating the adaptability score correlation between each pair of channels, and converting the results into coupling degree values, so as to connect and generate the corresponding channel condition coupling degree graph, and by combining the channel condition coupling degree graph between different wireless communication channels obtained by previous analysis, each corresponding wireless communication channel in the wireless communication channel set between user devices is grouped, so as to divide the channels in the channel condition coupling degree graph into different subgroups by using a graph partitioning algorithm, such as K-means clustering or graph cut algorithm, and the channels in each subgroup have similar coupling degree characteristics and adaptability scores, so as to obtain wireless communication channel subgroups between user devices, wherein each subgroup includes wireless communication channels with good adaptability under similar conditions. Then, the spectrum usage of each wireless communication channel in the wireless communication channel subgroup between user devices is detected by using a spectrum analyzer or a spectrum scanning tool to record the spectrum occupancy of each wireless communication channel, including frequency range, bandwidth, signal strength, etc. Subsequently, the actual spectrum utilization is determined based on the above detection data analysis to determine the spectrum usage channel of each group of wireless communication channels, ensure that the spectrum allocation and utilization of each channel are optimal, and finally obtain the spectrum usage channel of each group of user equipment wireless communication channels.

[0075] Step S3: performing a summary analysis of network load and interference level on the wireless communication channel subgroups between user equipments through the base station to obtain the total network load and the total wireless environment interference level of each group of user equipment wireless communication channels;

[0076] In an embodiment of the present invention, a base station is used to perform a statistical analysis of the network load on each wireless communication channel in a wireless communication channel subgroup between user devices, so that the traffic data on each channel, including the uplink and downlink data transmission volume, signal strength, and data packet transmission rate, is collected in real time through the connected wireless communication device, and these data are summarized, and the network load of each channel is analyzed by a preset network load analysis method, and the network load data of each channel is summarized, so that the network load data of each channel obtained by the previous analysis are concentrated in a database to calculate the total load of each channel subgroup. The specific method is to add the load of each channel to obtain the total load in the subgroup. For example, if a channel subgroup contains four channels, and their network loads are 10 Mbps, 20 Mbps, 15 Mbps, and 25 Mbps respectively, then the total network load of the subgroup is 70 Mbps, thereby obtaining the total network load of each group of user equipment wireless communication channels.At the same time, by performing a statistical analysis on the load distribution characteristics of the network load of each wireless communication channel in the channel subgroup obtained by the previous analysis, a load distribution map of each channel is drawn using data mining and statistical analysis methods. The map shows the load change trend of each channel and its load distribution in different time periods. The interference source is identified and analyzed on the previously generated network load distribution characteristic map, so that the load abnormality area is analyzed using signal processing technology. For example, spectrum analysis technology can be applied to identify the frequency band or time point of the load abnormality, and by comparing the normal load pattern with the abnormal load pattern, the existence of the interference source can be identified. The interference source includes interference from adjacent channels, equipment failure or interference from external wireless devices. The interference influence range of the corresponding wireless communication channel is evaluated based on the abnormal interference source of the load distribution of each wireless communication channel. Analysis is performed to evaluate the interference impact range of each channel by applying an interference impact model (such as a propagation loss model or an interference propagation model). During the evaluation process, the location, strength and working frequency band of the interference source are taken into consideration to calculate the radius and coverage area of ​​the interference impact. Then, the interference level of each wireless communication channel in the wireless communication channel subgroup between user equipment is quantitatively calculated by combining the load distribution interference impact range of each wireless communication channel in the channel subgroup obtained by the previous evaluation analysis, and the interference level of each channel is calculated based on the interference impact range obtained by the previous analysis. For example, the signal-to-noise ratio (SNR) or the interference signal power density (PSD) can be used to quantify the interference level, and the interference level data of all channels are summarized. For example, if a channel subgroup contains five channels, and the quantified interference level value of each channel is 5 dB, 7 dB, 6 dB, 8 dB and 9 dB, then the total wireless environment interference level of the subgroup is 35 dB, and finally the total wireless environment interference level of each group of user equipment wireless communication channels is obtained.

[0077] Step S4: Based on the total network load of the wireless communication channels of each group of user equipment and the total interference level of the wireless environment, the spectrum usage channels of the wireless communication channels of each group of user equipment are dynamically optimized for spectrum resource allocation to obtain the optimized channels for wireless communication spectrum resources of each group of user equipment; according to the optimized channels for wireless communication spectrum resources of each group of user equipment, user communication optimization processing is performed on the corresponding wireless communication channel subgroups to obtain the wireless communication optimization results between user equipment.

[0078] In an embodiment of the present invention, a feature vector mapping process is performed on the total network load (such as channel transmission load rate, data traffic congestion, etc.) of each group of user equipment wireless communication channels obtained by previous statistical analysis and the total amount of wireless environment interference level (such as signal noise, interference source strength, etc.), so as to map these data into a load interference response feature vector using a multi-dimensional feature vector mapping algorithm, and a response condition is designed for the load interference response feature vector of each group of user equipment wireless communication channels obtained by the previous mapping conversion, so as to define the load interference response condition by using a feature vector-based analysis model, such as a cluster analysis or a regression model. For example, the feature vectors are divided into several categories by applying a K-means clustering algorithm, each category represents a typical load and interference condition, and a relationship function between load and interference is established by a regression analysis model to determine the load and interference characteristics under different conditions. These conditions are designed to describe the response characteristics of wireless channels in different environments. When performing spectrum resource optimization, the spectrum usage channels corresponding to the wireless communication channels of each group of user equipment are analyzed by combining the load interference response conditions of the wireless communication channels of each group of user equipment generated by the previous design, and the analysis tools based on the optimization model, such as linear programming or integer programming, are used to calculate the spectrum resource optimization demand of each group of user equipment, and the spectrum resource optimization demand obtained by the previous analysis is combined to dynamically optimize the allocation of spectrum resources for the spectrum usage channels corresponding to the wireless communication channels of each group of user equipment, so as to optimize the allocation of spectrum resources for the corresponding spectrum usage channels by using dynamic spectrum management algorithms, such as genetic algorithms or simulated annealing algorithms. These algorithms will adjust the spectrum resource allocation strategy in real time according to the spectrum demand, interference level and network load of each group of equipment, and through this dynamic optimization processing, it is ensured that in the actual operation process, the spectrum usage of each group of user equipment is optimally allocated, thereby obtaining the optimized spectrum resource channel for the wireless communication of each group of user equipment. Then, by using the wireless communication spectrum resource optimization channel of each group of user equipment obtained by the previous allocation optimization, the corresponding wireless communication channel subgroup is optimized for user communication. The specific operations include using spectrum resources to optimize channel information, adjusting the working parameters of the wireless communication channel, such as frequency allocation, power control, etc., and further adjusting the communication strategy between users through optimization algorithms, such as particle swarm optimization (PSO) or reinforcement learning, so as to reduce interference and improve communication quality, thereby generating a wireless communication optimization solution between user equipment, ensuring the best communication effect within the scope of their respective spectrum resources, and finally obtaining the wireless communication optimization result between user equipment.

[0079] Further, step S1 includes the following steps:

[0080] Step S11: Acquire a wireless communication channel set between user equipments;

[0081] Step S12: performing device communication demand analysis on each wireless communication channel in the wireless communication channel set between user devices through the base station to obtain device wireless communication demand of each wireless communication channel between user devices;

[0082] Step S13: performing real-time monitoring of the channel signal strength of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal strength of each wireless communication channel between user equipments;

[0083] Step S14: performing real-time monitoring of the channel utilization rate of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the channel utilization rate of each wireless communication channel between user equipments;

[0084] Step S15: taking the signal strength and channel utilization rate of each wireless communication channel between user equipments as the channel condition of the user equipments, so as to obtain the wireless communication channel condition of each wireless communication channel between user equipments.

[0085] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0086] Step S11: Acquire a wireless communication channel set between user equipments;

[0087] In an embodiment of the present invention, a base station is used to scan the wireless communication channels between user devices to establish a set including all available wireless communication channels. This can be achieved by the following method: a spectrum scanner is used to perform a full-band scan of the surrounding frequency bands between user devices to identify all wireless communication channels, and the scanned channel information is sorted out, including the frequency range, bandwidth and other technical parameters of the channel to form a detailed channel list. In order to ensure the accuracy of the channel set, the interference situation and signal quality of the channel also need to be considered, and finally a wireless communication channel set between user devices is obtained.

[0088] Step S12: performing device communication demand analysis on each wireless communication channel in the wireless communication channel set between user devices through the base station to obtain device wireless communication demand of each wireless communication channel between user devices;

[0089] In an embodiment of the present invention, a detailed device communication demand analysis is performed on each wireless communication channel in a wireless communication channel set by using a base station, so as to collect communication request data of user equipment through the base station, including data transmission volume, delay requirements, service quality requirements, etc., and analyze these data through the base station to evaluate the adaptability of each channel to determine their ability to meet the communication needs of different devices. The analysis method includes calculating indicators such as channel bandwidth, delay, and throughput to determine whether the needs of user equipment can be met, thereby recording the device communication demand data of each channel, and finally obtaining the device wireless communication demand of each wireless communication channel between user equipment.

[0090] Step S13: performing real-time monitoring of the channel signal strength of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal strength of each wireless communication channel between user equipments;

[0091] In an embodiment of the present invention, a base station is used to perform real-time monitoring of the signal strength of each wireless communication channel in a wireless communication channel set between user devices, so as to monitor the signal strength of each wireless communication channel in real time to evaluate and analyze the actual signal quality of the wireless communication channel. The base station uses a special signal strength measurement tool, such as a power meter or a signal analyzer, to continuously monitor the signal strength of each channel. The specific operation includes setting a measuring device to perform continuous signal strength acquisition on each channel, recording the signal strength value of each channel, and transmitting the data to the central processing unit of the base station in real time for analysis. The data processing of the signal strength includes removing noise, calculating the average value and the peak value, etc., so as to obtain the accurate signal strength of each channel, and finally obtain the signal strength of each wireless communication channel between user devices.

[0092] Step S14: performing real-time monitoring of the channel utilization rate of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the channel utilization rate of each wireless communication channel between user equipments;

[0093] In an embodiment of the present invention, a base station is used to perform real-time channel utilization monitoring on each wireless communication channel in a wireless communication channel set between user devices, so that real-time statistics of the traffic of each channel are performed through a traffic monitoring device (such as a network traffic analyzer) configured by the base station, and the transmission volume, frequency and other relevant information of the data packet are collected. The base station also performs real-time analysis on the utilization of each channel, including calculating the ratio of the actual utilization ratio of the channel to the theoretical maximum utilization ratio. This process involves real-time collection, recording and calculation of data traffic to ensure the accuracy of channel utilization, and finally obtains the channel utilization of each wireless communication channel between user devices.

[0094] Step S15: taking the signal strength and channel utilization rate of each wireless communication channel between user equipments as the channel condition of the user equipments, so as to obtain the wireless communication channel condition of each wireless communication channel between user equipments.

[0095] In an embodiment of the present invention, the signal strength and channel utilization of each wireless communication channel between user devices previously monitored in real time are integrated, and the channel condition index of each wireless communication channel is designed and generated according to different numerical combinations of signal strength and channel utilization, so as to be used in future communication demand matching and channel allocation. This process ensures accurate evaluation and effective utilization of channel conditions, and ultimately obtains the wireless communication channel conditions of each wireless communication channel between user devices.

[0096] Further, step S12 includes the following steps:

[0097] Step S121: performing resource transmission efficiency analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the resource transmission efficiency of each wireless communication channel between user equipments;

[0098] Step S122: performing signal stability statistical analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal stability level of each wireless communication channel between user equipments;

[0099] Step S123: performing channel adaptability evaluation and analysis on each wireless communication channel in the wireless communication channel set between user equipments based on the resource transmission efficiency and signal stability of each wireless communication channel between user equipments, so as to obtain the channel adaptability of each wireless communication channel between user equipments;

[0100] Step S124: performing communication demand intensity distribution analysis on each wireless communication channel in the wireless communication channel set between user equipments according to the channel adaptability of each wireless communication channel between user equipments, so as to generate a communication demand intensity distribution graph of each wireless communication channel between user equipments;

[0101] Step S125: Perform interactive interference impact analysis based on the communication demand intensity distribution diagram of each wireless communication channel between user devices to obtain the communication demand interference impact matrix of each wireless communication channel between user devices; based on the communication demand interference impact matrix of each wireless communication channel between user devices, perform communication demand adjustment analysis on each corresponding wireless communication channel to obtain the device wireless communication demand of each wireless communication channel between user devices.

[0102] As an embodiment of the present invention, refer to Figure 3As shown, Figure 2 Detailed step flow diagram of step S12 in the embodiment, step S12 includes the following steps:

[0103] Step S121: performing resource transmission efficiency analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the resource transmission efficiency of each wireless communication channel between user equipments;

[0104] In an embodiment of the present invention, wireless communication signal data between user devices are collected by using a base station. These signal data include the signal's transmission power, reception power, signal-to-noise ratio (SNR), bit error rate (BER), etc., and these data are input into a resource transmission efficiency calculation model. The model uses a real-time performance evaluation algorithm to calculate the transmission efficiency of each channel. In the specific calculation process, the algorithms used include maximum likelihood estimation and channel capacity calculation methods to evaluate the transmission efficiency of each channel under current conditions. The analysis results generate resource transmission efficiency values ​​for each channel. These values ​​quantify the data transmission capacity and efficiency of each channel in a given time period, and finally obtain the resource transmission efficiency of each wireless communication channel between user devices.

[0105] Step S122: performing signal stability statistical analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal stability level of each wireless communication channel between user equipments;

[0106] In an embodiment of the present invention, a base station is used to extract signal strength data at multiple time points from the signal records of each wireless communication channel in a wireless communication channel set between user devices, and a statistical method is used to analyze the change trend of these data. Specifically, statistical indicators such as standard deviation and root mean square error (RMSE) are used to measure the degree of fluctuation of signal strength, and a signal stability statistical analysis tool such as a signal stability analyzer is used to draw a time series graph of the signal strength and calculate the range of change of the signal strength. The signal stability degree of each channel is determined based on these statistical results, which indicates the stability of the signal over time, and finally the signal stability degree of each wireless communication channel between user devices is obtained.

[0107] Step S123: performing channel adaptability evaluation and analysis on each wireless communication channel in the wireless communication channel set between user equipments based on the resource transmission efficiency and signal stability of each wireless communication channel between user equipments, so as to obtain the channel adaptability of each wireless communication channel between user equipments;

[0108] In an embodiment of the present invention, the channel adaptability of each corresponding wireless communication channel in the wireless communication channel set between user devices is evaluated and analyzed by combining the resource transmission efficiency and signal stability of each wireless communication channel between user devices obtained in the previous analysis, so that the resource transmission efficiency value and signal stability value obtained in steps S121 and S122 are input into the channel adaptability evaluation model. The model is based on a weighted scoring method, combining transmission efficiency and signal stability, and calculating the adaptability score of each channel. For example, linear weighting and multi-objective optimization algorithms are used to comprehensively evaluate the adaptability of the channel. The channel adaptability evaluation result shows the comprehensive adaptability of each channel, indicating whether the channel meets the current communication requirements, and finally the channel adaptability of each wireless communication channel between user devices is obtained.

[0109] Step S124: performing communication demand intensity distribution analysis on each wireless communication channel in the wireless communication channel set between user equipments according to the channel adaptability of each wireless communication channel between user equipments, so as to generate a communication demand intensity distribution graph of each wireless communication channel between user equipments;

[0110] In an embodiment of the present invention, a statistical analysis of the communication demand intensity distribution of each corresponding wireless communication channel in the wireless communication channel set between user devices is performed by combining the channel fitness of each wireless communication channel between user devices obtained by previous evaluation and analysis, so as to use the fitness evaluation result, combine the user's communication demand data, and generate a communication demand intensity distribution map through a distribution analysis algorithm. Specifically, the fitness score is combined with the user's actual communication request data (such as bandwidth requirements, data transmission volume, etc.), and a distribution map is generated using a data visualization tool. The distribution map shows the load distribution of each channel under different communication demands, and can provide demand intensity information of each channel. Finally, a communication demand intensity distribution map of each wireless communication channel between user devices is analyzed and generated.

[0111] Step S125: Perform interactive interference impact analysis based on the communication demand intensity distribution diagram of each wireless communication channel between user devices to obtain the communication demand interference impact matrix of each wireless communication channel between user devices; based on the communication demand interference impact matrix of each wireless communication channel between user devices, perform communication demand adjustment analysis on each corresponding wireless communication channel to obtain the device wireless communication demand of each wireless communication channel between user devices.

[0112] In an embodiment of the present invention, an impact analysis of mutual interference is performed on a previously generated communication demand intensity distribution diagram of each wireless communication channel between user devices, so that the mutual interference of each channel is evaluated by using an interference analysis algorithm, such as an interference matrix algorithm, based on the previously generated communication demand intensity distribution diagram. The specific method includes using an interference model (for example, an interference matrix model) to calculate the interference impact between each channel. These models analyze the interference source based on signal strength, signal frequency and channel characteristics. The analysis results generate a corresponding communication demand interference impact matrix to describe the impact degree and interference relationship of each channel under the current interference conditions, thereby obtaining the communication demand interference impact matrix of each wireless communication channel between user devices. At the same time, by combining the communication demand interference impact matrix of each wireless communication channel between user devices obtained in the previous analysis, the communication demand adjustment analysis of each corresponding wireless communication channel is performed to input the interference impact matrix into the demand adjustment model. The model uses, for example, an optimization algorithm or an adjustment algorithm (such as a genetic algorithm or a particle swarm optimization algorithm) to adjust the communication demand of each channel to minimize the interference impact and optimize the overall communication performance. The adjustment process includes reallocating bandwidth, adjusting power levels, or modifying modulation schemes to ensure optimal performance and resource utilization under interference conditions, and ultimately obtains the device wireless communication demand of each wireless communication channel between user devices.

[0113] Further, step S2 includes the following steps:

[0114] Step S21: performing demand alignment and matching mapping on the device wireless communication demand of each wireless communication channel between user devices based on the wireless communication channel condition of each wireless communication channel between user devices, so as to generate a communication demand alignment and matching matrix of each wireless communication channel under the communication channel condition;

[0115] In an embodiment of the present invention, by combining the wireless communication channel conditions of each wireless communication channel between user devices obtained by previous analysis (including signal strength and channel utilization under different numerical combination conditions), the device wireless communication requirements of each wireless communication channel between the corresponding user devices are aligned and matched. This process can be completed by constructing a multidimensional matrix, in which each row represents a wireless communication channel condition and each column represents a communication requirement. In the matrix, the matching value between the channel condition and the communication requirement is filled in, and these data are analyzed using mathematical models such as linear programming or optimization algorithms. Finally, the communication requirement alignment matching matrix of each wireless communication channel under the communication channel conditions is mapped and generated. The matrix reflects how each channel meets different communication requirements under the current wireless channel conditions.

[0116] Step S22: performing channel adaptability evaluation and analysis on each corresponding wireless communication channel according to the communication demand alignment matching matrix of each wireless communication channel under the communication channel conditions, and obtaining a wireless communication channel demand adaptability score table;

[0117] In an embodiment of the present invention, the channel adaptability of each corresponding wireless communication channel is evaluated and analyzed by combining the communication demand alignment matching matrix of each wireless communication channel generated by previous mapping under the communication channel conditions. The specific operation includes using an adaptability scoring model, such as a weight-based scoring system or a machine learning algorithm, to convert the matching value of each channel into an adaptability score. The scoring criteria can be set, such as converting the requirements of signal strength and noise level into an adaptability score. On this basis, a corresponding demand adaptability scoring table is statistically generated, and the table contains the adaptability score of each wireless channel. The scoring table shows how each channel adapts to different communication requirements under current conditions, and finally a wireless communication channel demand adaptability scoring table is obtained.

[0118] Step S23: performing a channel condition coupling degree analysis on the wireless communication channel demand adaptability score table based on the wireless communication channel condition of each wireless communication channel between user equipments, so as to obtain a channel condition coupling degree map between different wireless communication channels;

[0119] In an embodiment of the present invention, a coupling analysis tool (such as correlation analysis or clustering algorithm) is used to perform a statistical analysis of the coupling of the demand adaptability scores under the corresponding communication channel conditions in the wireless communication channel demand adaptability score table in combination with the wireless communication channel conditions of each wireless communication channel between user devices obtained by previous analysis, so as to construct a channel condition coupling degree graph using a graph theory method, wherein the nodes represent wireless channels and the edge weights represent the coupling degrees between channels. The specific operation includes calculating the adaptability score correlation between each pair of channels and converting the results into coupling values, thereby connecting and generating corresponding channel condition coupling degree graphs to show the relationship and coupling degree between wireless channels, help identify which channels have higher correlation under conditions, and finally obtain a channel condition coupling degree graph between different wireless communication channels.

[0120] Step S24: performing channel grouping processing on each wireless communication channel in the wireless communication channel set between user equipments based on the channel condition coupling degree graph between different wireless communication channels, so as to obtain a wireless communication channel subgroup between user equipments;

[0121] In an embodiment of the present invention, each corresponding wireless communication channel in a wireless communication channel set between user devices is grouped by combining a channel condition coupling degree map between different wireless communication channels obtained by previous analysis, so as to divide the channels in the channel condition coupling degree map into different subgroups by using a graph partitioning algorithm, such as K-means clustering or a graph cut algorithm, and the channels in each subgroup have similar coupling degree characteristics and adaptability scores. This process can be accomplished by setting grouping criteria, such as grouping channels with higher coupling degrees into the same group, and finally obtaining wireless communication channel subgroups between user devices, wherein each subgroup includes wireless communication channels with better adaptability under similar conditions.

[0122] Step S25: performing wireless communication spectrum sensing analysis on the wireless communication channel subgroups between the user equipments to obtain the spectrum usage channels of the wireless communication channels of each group of user equipments.

[0123] In an embodiment of the present invention, the spectrum usage of each wireless communication channel in the wireless communication channel subgroup between user devices is detected by using a spectrum analyzer or a spectrum scanning tool to record the spectrum occupancy of each wireless communication channel, including the frequency range, bandwidth, signal strength, etc., and then the actual spectrum utilization is determined based on the above detection data analysis to determine the spectrum usage channel of each group of wireless communication channels, thereby ensuring that the spectrum allocation and utilization of each channel are optimal, and finally obtaining the spectrum usage channel of each group of user equipment wireless communication channels.

[0124] Further, step S24 includes the following steps:

[0125] Step S241: performing a channel coupling minimization group analysis on each wireless communication channel in the wireless communication channel set between user equipments based on the channel condition coupling degree graph between different wireless communication channels, so as to generate an initial group list for minimizing the coupling degree of wireless communication channels;

[0126] In an embodiment of the present invention, a channel condition coupling degree map between different wireless communication channels obtained by combining the previous connection construction is used to perform group statistical analysis on each wireless communication channel in the wireless communication channel set between user devices to minimize channel coupling, so as to obtain by measuring the signal interference, power control and bandwidth occupancy between channels, and by collecting and analyzing the channel data in the actual environment, all wireless communication channels are grouped using a data mining algorithm (such as a K-means clustering algorithm), and an initial grouping situation with minimized channel coupling is preliminarily constructed. These algorithms will group based on the coupling degree between channels to ensure that the channel coupling degree in each group is as low as possible, thereby reducing signal interference. Specifically, the coupling degree between channels can be calculated by writing a custom software tool, and the channels can be divided by using a similarity measure of the map (such as the Euclidean distance). After completing the initial grouping list, the channels and their coupling degrees in each group are recorded to form a preliminary channel grouping result, and finally an initial grouping list with minimized wireless communication channel coupling is generated.

[0127] Step S242: performing intra-group demand balance evaluation and analysis on each wireless communication channel group in the wireless communication channel coupling degree minimization initial group list to obtain communication demand distribution balance status data of each wireless communication channel group;

[0128] In an embodiment of the present invention, a balance evaluation and analysis of the intra-group demand is performed on each wireless communication channel group in the previously determined initial group list for minimizing the degree of coupling of wireless communication channels, so as to collect the communication demand data in each channel group, including the traffic demand, communication bandwidth demand and service quality requirement of each user equipment, and analyze the communication demand distribution of each group by using a load balancing algorithm (such as a weighted polling algorithm or a load balancer) to determine whether the demand within the group is balanced. In specific implementation, the data collection and analysis functions are realized by programming, a load balancing evaluation model is constructed, and the balance status of the communication demand distribution of each channel group is evaluated, that is, whether the communication demand within the group is balanced. During the evaluation process, a data visualization tool can be used to display the demand distribution of each group, identify the situation where the demand is too high or too low, thereby providing a basis for optimizing the grouping, and finally obtaining the communication demand distribution balance status data of each wireless communication channel group.

[0129] Step S243: performing channel grouping optimization and division processing on the wireless communication channel coupling degree minimization initial grouping list according to the communication demand distribution balance status data of each wireless communication channel group, so as to obtain wireless communication channel subgroups between user equipments.

[0130] In an embodiment of the present invention, by combining the communication demand distribution balance status data of each wireless communication channel grouping obtained by previous analysis, the corresponding channel groupings in the initial grouping list with the minimum coupling degree of the wireless communication channel are optimized and divided. The specific operation includes using an optimization algorithm (such as a genetic algorithm or a simulated annealing algorithm) to adjust the channel grouping to improve the balance of communication demand and overall performance, and repeatedly adjusting the initial grouping to calculate the optimized coupling degree and demand balance degree to ensure that the channels in each group can meet the actual communication demand while maintaining a low channel coupling degree. During the optimization process, the optimization algorithm can be implemented by programming, and the optimization results can be verified by simulation tools. The optimized channel grouping will form the final wireless communication channel subgroup, so that the channels in each subgroup can both meet the communication demand and effectively reduce interference, and finally the wireless communication channel subgroups between user devices are obtained.

[0131] Further, step S25 includes the following steps:

[0132] Step S251: performing spectrum usage distribution analysis on wireless communication channel subgroups between user equipments to generate a spectrum usage distribution map of wireless communication channels of each group of user equipments;

[0133] In an embodiment of the present invention, a wireless spectrum analyzer is used to perform spectrum scanning on a subgroup of wireless communication channels between user devices to obtain spectrum data of each channel. A spectrum usage distribution map of each frequency band is obtained by performing signal processing and graphical representation of the spectrum data. The specific operation includes setting the spectrum analyzer to collect data within a specified frequency band, and using spectrum analysis software to convert the collected data into a spectrum map. This map displays the signal strength and spectrum occupancy of different frequency bands, thereby being able to intuitively reflect the spectrum usage distribution of each frequency band, and finally drawing and generating a spectrum usage distribution map of the wireless communication channels of each group of user devices.

[0134] Step S252: performing frequency band usage density and signal strength statistical analysis on each frequency band in the spectrum usage distribution map of the wireless communication channels of each group of user equipment, so as to obtain the usage density and signal strength of each frequency band in the spectrum usage map of the communication channels of each group of user equipment;

[0135] In an embodiment of the present invention, a signal analysis tool is used to perform statistical analysis on each frequency band in a previously generated spectrum usage distribution map of wireless communication channels of each group of user equipment, so that the data of each frequency band in the spectrum map is input into the signal analysis tool to calculate the signal strength and frequency band usage density of each frequency band. The analysis tool quantifies the signal strength of each frequency band and generates a data table of frequency band usage density. Finally, the usage density and signal strength of each frequency band in the spectrum usage map of the communication channels of each group of user equipment are analyzed.

[0136] Step S253: performing spectrum activity intensity evaluation and analysis on the spectrum usage distribution map of the wireless communication channels of each group of user equipment based on the usage density and signal strength of each frequency band in the spectrum usage map of the communication channels of each group of user equipment, so as to obtain the spectrum usage activity intensity of the wireless communication channels of each group of user equipment;

[0137] In an embodiment of the present invention, a spectrum usage distribution map of each group of user equipment wireless communication channels previously drawn is evaluated and analyzed for spectrum activity intensity by combining the usage density of each frequency band in the spectrum usage map of each group of user equipment communication channels obtained by previous statistical analysis and the signal strength weighted evaluation method to evaluate and calculate the activity intensity of each frequency band, usually including weighted average of signal strength and frequency band density or other evaluation methods to determine the activity intensity of each frequency band, to display the spectrum activity intensity levels of different channels and frequency bands, and finally to obtain the spectrum usage activity intensity of each group of user equipment wireless communication channels.

[0138] Step S254: performing spectrum resource usage allocation processing on the corresponding user equipment wireless communication channels according to the spectrum usage activity intensity of each group of user equipment wireless communication channels, and obtaining a spectrum resource usage allocation strategy for each group of user equipment wireless communication channels;

[0139] In an embodiment of the present invention, spectrum resource allocation is performed on the wireless communication channels of each group of user equipment by combining the spectrum usage activity intensity of the wireless communication channels of each group of user equipment obtained by previous evaluation and analysis. The specific operation includes matching the activity intensity of each frequency band with a preset spectrum resource allocation strategy to determine the optimal spectrum resource allocation scheme, which is usually accomplished through an optimization model or a scheduling algorithm to adjust the allocation of spectrum resources, reduce interference and improve communication efficiency. The allocation strategy is formulated in a document form to guide the actual allocation of spectrum resources, and ultimately the spectrum resource usage allocation strategy for the wireless communication channels of each group of user equipment is obtained.

[0140] Step S255: determining the spectrum usage channel for the wireless communication channel subgroups between the user equipments based on the spectrum resource usage allocation strategy for the wireless communication channels of each group of user equipments, so as to obtain the spectrum usage channel for the wireless communication channels of each group of user equipments.

[0141] In an embodiment of the present invention, the spectrum resource allocation of the wireless communication channel subgroups between the corresponding user devices is determined by combining the spectrum resource usage allocation strategy of the wireless communication channel of each group of user equipment determined by previous allocation. The specific operation includes applying the spectrum resource usage allocation strategy to the corresponding wireless communication channel subgroup, and configuring the wireless communication channel of each group of user equipment to implement the spectrum resource allocation defined in the spectrum resource usage allocation strategy, and generating a spectrum usage channel allocation map according to the configuration, and applying it to the actual wireless communication spectrum usage channel to ensure that the spectrum resources of each user equipment are allocated according to the optimization strategy, thereby improving the wireless communication performance of the corresponding spectrum usage channel, and finally obtaining the spectrum usage channel of the wireless communication channel of each group of user equipment.

[0142] Further, step S3 includes the following steps:

[0143] Step S31: performing channel network load statistics analysis on each wireless communication channel in the wireless communication channel subgroup between user equipments through the base station to obtain the network load of each wireless communication channel in the channel subgroup;

[0144] In an embodiment of the present invention, a base station is used to perform statistical analysis of the network load on each wireless communication channel in a wireless communication channel subgroup between user devices, so that traffic data on each channel is collected in real time through the connected wireless communication device, including uplink and downlink data transmission volume, signal strength, and data packet transmission rate. These data are summarized and the network load of each channel is analyzed by a preset network load analysis method. For example, for each channel, the amount of data processed per unit time is calculated, and the influence of signal interference and bit error rate on the load is considered, and finally the network load of each wireless communication channel in the channel subgroup is obtained.

[0145] Step S32: performing network load aggregation processing on the network load of each wireless communication channel in the channel subgroup to obtain the total network load of the wireless communication channels of each group of user equipment;

[0146] In an embodiment of the present invention, the network load of each wireless communication channel in the channel subgroup obtained by previous statistical analysis is summarized to concentrate the network load data of each channel obtained by previous analysis in a database, and statistical analysis tools are used to summarize these data, including calculating the total load of each channel subgroup. The specific method is to add the load of each channel to obtain the total load in the subgroup. For example, if a channel subgroup contains four channels, and their network loads are 10 Mbps, 20 Mbps, 15 Mbps and 25 Mbps respectively, then the total network load of the subgroup is 70 Mbps, and finally the total network load of each group of user equipment wireless communication channels is obtained.

[0147] Step S33: performing load distribution characteristic analysis according to the network load of each wireless communication channel in the channel subgroup, and obtaining a network load distribution characteristic map of each wireless communication channel in the channel subgroup;

[0148] In an embodiment of the present invention, a statistical analysis of the load distribution characteristics of the network load of each wireless communication channel in the channel subgroup obtained by the previous analysis is performed, and a load distribution map of each channel is drawn using data mining and statistical analysis methods. The map shows the load change trend of each channel and its load distribution in different time periods. For example, a histogram or a heat map can be used to represent the concentration of the load distribution and its changes. The purpose of this step is to identify load peaks and troughs, as well as the relative distribution characteristics of the load between different channels, and finally obtain a network load distribution characteristic map of each wireless communication channel in the channel subgroup.

[0149] Step S34: performing interference source identification analysis on the network load distribution characteristic map of each wireless communication channel in the channel subgroup to obtain the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup; performing interference influence range evaluation analysis on the corresponding wireless communication channel based on the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup to obtain the load distribution interference influence range of each wireless communication channel in the channel subgroup;

[0150] In an embodiment of the present invention, the interference source is identified and analyzed by the network load distribution characteristic map of each wireless communication channel in the channel subgroup previously drawn and generated, so as to analyze the abnormal load area by using signal processing technology. For example, the spectrum analysis technology can be applied to identify the frequency band or time point of the abnormal load, and the existence of the interference source can be identified by comparing the normal load mode with the abnormal load mode. The abnormal interference source includes the interference of the adjacent channel, the equipment failure or the interference of the external wireless device, so as to identify the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup. At the same time, based on the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup, the corresponding wireless communication channel is evaluated and analyzed, so as to evaluate the interference influence range of each channel by applying the interference influence model (such as the propagation loss model or the interference propagation model). In the evaluation process, the location, strength and working frequency band of the interference source are taken into consideration, and the radius and coverage area of ​​the interference influence are calculated. For example, the electromagnetic field propagation model is used to calculate the influence range of the interference source on the channel load, so as to determine which areas are interfered and the specific influence range of the interference on the channel performance, and finally the load distribution interference influence range of each wireless communication channel in the channel subgroup is obtained.

[0151] Step S35: quantify and summarize the interference level of each wireless communication channel in the wireless communication channel subgroup between user devices according to the load distribution interference influence range of each wireless communication channel in the channel subgroup, and obtain the total amount of wireless environment interference level of each group of user equipment wireless communication channels.

[0152] In an embodiment of the present invention, the interference level of each wireless communication channel in the wireless communication channel subgroup between user devices is quantitatively calculated by combining the load distribution interference influence range of each wireless communication channel in the channel subgroup obtained by previous evaluation and analysis, and the interference level of each channel is calculated based on the interference influence range obtained by previous analysis. For example, the signal-to-noise ratio (SNR) or the interference signal power density (PSD) can be used to quantify the interference level, and the interference level data of all channels are summarized. For example, if a channel subgroup contains five channels, and the quantized interference level value of each channel is 5 dB, 7 dB, 6 dB, 8 dB and 9 dB, then the total wireless environment interference level of the subgroup is 35 dB, and finally the total wireless environment interference level of each group of user equipment wireless communication channels is obtained.

[0153] Further, step S4 includes the following steps:

[0154] Step S41: mapping the total network load of each group of user equipment wireless communication channels and the total amount of wireless environment interference level to load and interference response feature vectors to obtain the load interference response feature vectors of each group of user equipment wireless communication channels;

[0155] In an embodiment of the present invention, feature vector mapping processing is performed on the total network load (such as channel transmission load rate, data traffic congestion, etc.) and the total amount of wireless environment interference level (such as signal noise, interference source strength, etc.) of each group of user equipment wireless communication channels obtained by previous statistical analysis, so as to map these data into load interference response feature vectors using a multi-dimensional feature vector mapping algorithm. The specific method is to use dimensionality reduction techniques such as principal component analysis (PCA) or linear discriminant analysis (LDA) to extract the main load and interference features, and through these techniques, the complex load and interference data are converted into feature vectors with higher interpretability, and finally the load interference response feature vectors of the wireless communication channels of each group of user equipment are obtained.

[0156] Step S42: Designing a load interference response condition for the load interference response characteristic vector of each group of user equipment wireless communication channels to generate a load interference response condition for each group of user equipment wireless communication channels;

[0157] In an embodiment of the present invention, response conditions are designed for the load interference response feature vectors of each group of user equipment wireless communication channels obtained by previous mapping conversion, so as to define the load interference response conditions by using a feature vector-based analysis model, such as a cluster analysis or a regression model. For example, the feature vectors are divided into several categories by applying a K-means clustering algorithm, each category represents a typical load and interference condition, and a relationship function between load and interference is established through a regression analysis model to determine the load and interference characteristics under different conditions. These conditions are designed to describe the response characteristics of wireless channels under different environments, and finally generate the load interference response conditions of each group of user equipment wireless communication channels.

[0158] Step S43: performing spectrum resource optimization demand analysis on the spectrum usage channel of each group of user equipment wireless communication channels based on the load interference response condition of each group of user equipment wireless communication channels, and obtaining the spectrum resource optimization demand of each group of user equipment wireless communication spectrum usage channel;

[0159] In an embodiment of the present invention, a spectrum resource optimization demand analysis is performed on the spectrum usage channel corresponding to each group of user equipment wireless communication channels by combining the load interference response conditions of each group of user equipment wireless communication channels previously designed and generated, so as to calculate the spectrum resource optimization demand of each group of user equipment by using an analysis tool based on an optimization model, such as linear programming or integer programming. The specific method includes inputting the load interference response conditions into the optimization model, calculating the spectrum resource optimization demand under different conditions, and the optimization model will consider factors such as signal quality, bandwidth requirements, user priority, etc. to determine the actual required spectrum resource optimization demand, and finally obtain the spectrum resource optimization demand of the spectrum usage channel of the wireless communication of each group of user equipment.

[0160] Step S44: performing dynamic spectrum resource allocation optimization processing on the spectrum usage channel of the wireless communication channel of each group of user equipment according to the spectrum resource optimization demand of the wireless communication spectrum usage channel of each group of user equipment, so as to obtain the wireless communication spectrum resource optimization channel of each group of user equipment;

[0161] In an embodiment of the present invention, the spectrum resource optimization demand of each group of user equipment wireless communication spectrum usage channel obtained by previous analysis is combined to optimize the allocation of spectrum resources corresponding to each group of user equipment wireless communication channels, so as to optimize the allocation of spectrum resources of the corresponding spectrum usage channels by using a dynamic spectrum management algorithm, such as a genetic algorithm or a simulated annealing algorithm. These algorithms will adjust the spectrum resource allocation strategy in real time according to the spectrum demand, interference level and network load of each group of equipment, and through this dynamic optimization processing, ensure that in the actual operation process, the spectrum usage of each group of user equipment is optimally allocated, and finally obtain the optimized channel of wireless communication spectrum resources for each group of user equipment.

[0162] Step S45: performing user communication optimization processing on the corresponding wireless communication channel subgroup according to the wireless communication spectrum resource optimization channel of each group of user equipment to obtain the wireless communication optimization result between the user equipments.

[0163] In an embodiment of the present invention, the user communication of each group of user equipment wireless communication spectrum resource optimization channel obtained by previously allocating and optimizing is optimized to optimize the user communication of the corresponding wireless communication channel subgroup. The specific operations include using spectrum resources to optimize channel information, adjusting the working parameters of the wireless communication channel, such as frequency allocation, power control, etc., and further adjusting the communication strategy between users through optimization algorithms, such as particle swarm optimization (PSO) or reinforcement learning, so as to reduce interference and improve communication quality, thereby generating a wireless communication optimization solution between user equipment, ensuring the best communication effect within the scope of their respective spectrum resources, and finally obtaining the wireless communication optimization result between user equipment.

[0164] Furthermore, the present invention also provides a wireless communication system for executing the wireless communication method as described above, the wireless communication system comprising:

[0165] A wireless communication channel real-time monitoring module is used to obtain a wireless communication channel set between user devices, and perform real-time monitoring of device communication requirements and channel conditions on the wireless communication channel set between user devices through a base station to obtain device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices;

[0166] The channel grouping and communication spectrum sensing module is used to perform channel grouping processing on each wireless communication channel in the wireless communication channel set between user devices based on the device wireless communication requirements of each wireless communication channel between user devices and the wireless communication channel conditions, so as to obtain a wireless communication channel subgroup between user devices; perform wireless communication spectrum sensing analysis on the wireless communication channel subgroup between user devices, so as to obtain a spectrum usage channel of each group of user equipment wireless communication channels;

[0167] A channel network load and interference level summary module is used to summarize and analyze the network load and interference level of the wireless communication channel subgroups between user equipments through the base station, so as to obtain the total network load of the wireless communication channel of each group of user equipments and the total amount of wireless environment interference level;

[0168] The spectrum channel resource and user communication optimization module is used to perform dynamic spectrum resource allocation optimization processing on the spectrum usage channels of each group of user equipment wireless communication channels based on the total network load of each group of user equipment wireless communication channels and the total amount of wireless environment interference level, so as to obtain the wireless communication spectrum resource optimization channel of each group of user equipment; according to the wireless communication spectrum resource optimization channel of each group of user equipment, the corresponding wireless communication channel subgroup is optimized to obtain the wireless communication optimization result between user devices.

[0169] Furthermore, the present invention also provides a semiconductor device, comprising a processing unit, a storage unit, and a computer control program stored in the storage unit and executable on the processing unit, for executing the wireless communication method as described above.

[0170] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0171] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A wireless communication method, characterized in that: The following steps are involved: Step S1: obtaining a wireless communication channel set between user devices, and performing real-time monitoring of device communication requirements and channel conditions of the wireless communication channel set between user devices through a base station to obtain device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices; Step S2: performing channel grouping processing on each wireless communication channel set between user devices based on the device wireless communication demand of each wireless communication channel between user devices and the wireless communication channel condition to obtain a wireless communication channel subgroup between user devices; performing wireless communication spectrum sensing analysis on the wireless communication channel subgroup between user devices to obtain a spectrum usage channel of each group of user equipment wireless communication channels; Step S3: performing a summary analysis of network load and interference level on the wireless communication channel subgroups between user equipments through the base station to obtain the total network load and the total amount of wireless environment interference level of each group of user equipment wireless communication channels; Step S4: performing dynamic spectrum resource allocation optimization processing on the spectrum usage channel of each group of user equipment wireless communication channels based on the total network load of each group of user equipment wireless communication channels and the total amount of wireless environment interference level, so as to obtain the spectrum resource optimization channel of each group of user equipment wireless communication channels; According to the wireless communication spectrum resource optimization channel of each group of user equipment, user communication optimization processing is performed on the corresponding wireless communication channel subgroup to obtain the wireless communication optimization result between the user equipment.

2. The wireless communication method according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: Acquire a wireless communication channel set between user equipments; Step S12: performing device communication demand analysis on each wireless communication channel in the wireless communication channel set between user devices through the base station to obtain device wireless communication demand of each wireless communication channel between user devices; Step S13: performing real-time monitoring of the channel signal strength of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal strength of each wireless communication channel between user equipments; Step S14: performing real-time monitoring of the channel utilization rate of each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the channel utilization rate of each wireless communication channel between user equipments; Step S15: The signal strength and channel utilization rate of each wireless communication channel between user equipments are used as channel conditions of the user equipments to obtain the wireless communication channel conditions of each wireless communication channel between user equipments.

3. The wireless communication method according to claim 2, characterized in that: Step S12 includes the following steps: Step S121: performing resource transmission efficiency analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the resource transmission efficiency of each wireless communication channel between user equipments; Step S122: performing signal stability statistical analysis on each wireless communication channel in the wireless communication channel set between user equipments through the base station to obtain the signal stability level of each wireless communication channel between user equipments; Step S123: performing channel adaptability evaluation and analysis on each wireless communication channel in the wireless communication channel set between user equipments based on the resource transmission efficiency and signal stability of each wireless communication channel between user equipments, so as to obtain the channel adaptability of each wireless communication channel between user equipments; Step S124: performing communication demand intensity distribution analysis on each wireless communication channel in the wireless communication channel set between user equipments according to the channel adaptability of each wireless communication channel between user equipments, so as to generate a communication demand intensity distribution graph of each wireless communication channel between user equipments; Step S125: Perform interactive interference impact analysis based on the communication demand intensity distribution diagram of each wireless communication channel between user devices to obtain the communication demand interference impact matrix of each wireless communication channel between user devices; based on the communication demand interference impact matrix of each wireless communication channel between user devices, perform communication demand adjustment analysis on each corresponding wireless communication channel to obtain the device wireless communication demand of each wireless communication channel between user devices.

4. The wireless communication method according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: performing demand alignment and matching mapping on the device wireless communication demand of each wireless communication channel between user devices based on the wireless communication channel condition of each wireless communication channel between user devices, so as to generate a communication demand alignment and matching matrix of each wireless communication channel under the communication channel condition; Step S22: performing channel adaptability evaluation and analysis on each corresponding wireless communication channel according to the communication demand alignment matching matrix of each wireless communication channel under the communication channel conditions, and obtaining a wireless communication channel demand adaptability score table; Step S23: performing a channel condition coupling degree analysis on the wireless communication channel demand adaptability score table based on the wireless communication channel condition of each wireless communication channel between user equipments, so as to obtain a channel condition coupling degree map between different wireless communication channels; Step S24: performing channel grouping processing on each wireless communication channel in the wireless communication channel set between user equipments based on the channel condition coupling degree graph between different wireless communication channels, so as to obtain a wireless communication channel subgroup between user equipments; Step S25: performing wireless communication spectrum sensing analysis on the wireless communication channel subgroups between the user equipments to obtain the spectrum usage channels of the wireless communication channels of each group of user equipments.

5. The wireless communication method according to claim 4, characterized in that: Step S24 includes the following steps: Step S241: performing a channel coupling minimization group analysis on each wireless communication channel in the wireless communication channel set between user equipments based on the channel condition coupling degree graph between different wireless communication channels, so as to generate an initial group list for minimizing the coupling degree of wireless communication channels; Step S242: performing intra-group demand balance evaluation and analysis on each wireless communication channel group in the wireless communication channel coupling degree minimization initial group list to obtain communication demand distribution balance status data of each wireless communication channel group; Step S243: performing channel grouping optimization and division processing on the wireless communication channel coupling degree minimization initial grouping list according to the communication demand distribution balance status data of each wireless communication channel group, so as to obtain wireless communication channel subgroups between user equipments.

6. The wireless communication method according to claim 4, characterized in that: Step S25 includes the following steps: Step S251: performing spectrum usage distribution analysis on wireless communication channel subgroups between user equipments to generate a spectrum usage distribution graph of wireless communication channels of each group of user equipments; Step S252: performing frequency band usage density and signal strength statistical analysis on each frequency band in the spectrum usage distribution map of the wireless communication channels of each group of user equipment, so as to obtain the usage density and signal strength of each frequency band in the spectrum usage map of the communication channels of each group of user equipment; Step S253: performing spectrum activity intensity evaluation and analysis on the spectrum usage distribution map of the wireless communication channels of each group of user equipment based on the usage density and signal strength of each frequency band in the spectrum usage map of the communication channels of each group of user equipment, so as to obtain the spectrum usage activity intensity of the wireless communication channels of each group of user equipment; Step S254: performing spectrum resource usage allocation processing on the corresponding user equipment wireless communication channels according to the spectrum usage activity intensity of each group of user equipment wireless communication channels, and obtaining a spectrum resource usage allocation strategy for each group of user equipment wireless communication channels; Step S255: determining the spectrum usage channel for the wireless communication channel subgroups between the user equipments based on the spectrum resource usage allocation strategy for the wireless communication channels of each group of user equipments, so as to obtain the spectrum usage channel for the wireless communication channels of each group of user equipments.

7. The wireless communication method according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: performing channel network load statistics analysis on each wireless communication channel in the wireless communication channel subgroup between user equipments through the base station to obtain the network load of each wireless communication channel in the channel subgroup; Step S32: performing network load aggregation processing on the network load of each wireless communication channel in the channel subgroup to obtain the total network load of the wireless communication channels of each group of user equipment; Step S33: performing load distribution characteristic analysis according to the network load of each wireless communication channel in the channel subgroup, and obtaining a network load distribution characteristic map of each wireless communication channel in the channel subgroup; Step S34: performing interference source identification analysis on the network load distribution characteristic map of each wireless communication channel in the channel subgroup to obtain the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup; performing interference influence range evaluation analysis on the corresponding wireless communication channel based on the abnormal interference source of the load distribution of each wireless communication channel in the channel subgroup to obtain the load distribution interference influence range of each wireless communication channel in the channel subgroup; Step S35: quantify and summarize the interference level of each wireless communication channel in the wireless communication channel subgroup between user devices according to the load distribution interference influence range of each wireless communication channel in the channel subgroup, and obtain the total amount of wireless environment interference level of each group of user equipment wireless communication channels.

8. The wireless communication method according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: mapping the total network load of each group of user equipment wireless communication channels and the total amount of wireless environment interference level to load and interference response feature vectors to obtain the load interference response feature vectors of each group of user equipment wireless communication channels; Step S42: Designing a load interference response condition for the load interference response characteristic vector of each group of user equipment wireless communication channels to generate a load interference response condition for each group of user equipment wireless communication channels; Step S43: performing spectrum resource optimization demand analysis on the spectrum usage channel of each group of user equipment wireless communication channels based on the load interference response condition of each group of user equipment wireless communication channels, and obtaining the spectrum resource optimization demand of each group of user equipment wireless communication spectrum usage channel; Step S44: performing dynamic spectrum resource allocation optimization processing on the spectrum usage channel of the wireless communication channel of each group of user equipment according to the spectrum resource optimization demand of the wireless communication spectrum usage channel of each group of user equipment, so as to obtain the wireless communication spectrum resource optimization channel of each group of user equipment; Step S45: performing user communication optimization processing on the corresponding wireless communication channel subgroup according to the wireless communication spectrum resource optimization channel of each group of user equipment to obtain the wireless communication optimization result between the user equipments.

9. A wireless communication system, characterized in that: For executing the wireless communication method according to claim 1, the wireless communication system comprises: A wireless communication channel real-time monitoring module is used to obtain a wireless communication channel set between user devices, and perform real-time monitoring of device communication requirements and channel conditions on the wireless communication channel set between user devices through a base station to obtain device wireless communication requirements and wireless communication channel conditions of each wireless communication channel between user devices; The channel grouping and communication spectrum sensing module is used to perform channel grouping processing on each wireless communication channel in the wireless communication channel set between user devices based on the device wireless communication requirements of each wireless communication channel between user devices and the wireless communication channel conditions, so as to obtain a wireless communication channel subgroup between user devices; perform wireless communication spectrum sensing analysis on the wireless communication channel subgroup between user devices, so as to obtain a spectrum usage channel of each group of user equipment wireless communication channels; A channel network load and interference level summary module is used to summarize and analyze the network load and interference level of the wireless communication channel subgroups between user equipments through the base station, so as to obtain the total network load of the wireless communication channel of each group of user equipments and the total amount of wireless environment interference level; The spectrum channel resource and user communication optimization module is used to perform dynamic spectrum resource allocation optimization processing on the spectrum usage channels of each group of user equipment wireless communication channels based on the total network load of each group of user equipment wireless communication channels and the total amount of wireless environment interference level, so as to obtain the wireless communication spectrum resource optimization channel of each group of user equipment; according to the wireless communication spectrum resource optimization channel of each group of user equipment, the corresponding wireless communication channel subgroup is optimized to obtain the wireless communication optimization result between user devices.

10. A semiconductor device, characterized in that: The method comprises a processing unit, a storage unit and a computer control program stored in the storage unit and executable on the processing unit, and is used to execute the wireless communication method according to any one of claims 1 to 8.

Images