High-fidelity audio transmission method for intelligent bandwidth distribution of fixed frequency

Abstract

The invention relates to the technical field of audio transmission, and discloses a high-fidelity audio transmission method for intelligent bandwidth allocation of a fixed frequency, which comprises the following steps: monitoring the state of a wireless channel in real time through a spectrum analysis module, and collecting information including signal strength, interference strength, channel quality, network load, channel idle condition and the like; according to the information, an optimal frequency band is selected through a spectrum sensing algorithm to carry out audio data transmission, and based on a spectrum state and channel quality, a power adjustment algorithm is adopted to dynamically adjust the transmission power of the audio data on the basis of a fixed frequency. Through intelligent spectrum sensing and dynamic adjustment, efficient allocation of spectrum resources can be achieved in different network environments, waste of the spectrum resources is avoided, the spectrum utilization rate of the whole network is improved, through the interference suppression and intelligent bandwidth allocation technology, the influence of signal interference on audio transmission can be effectively reduced, and the audio transmission efficiency is improved. And the audio quality stability is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of audio transmission, and particularly to a high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency. Background Art

[0002] The high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency is a technology that ensures the quality of audio transmission by optimizing the allocation of spectrum resources. In this method, based on a fixed frequency, the system intelligently allocates bandwidth resources according to the transmission requirements of audio data and network conditions, avoiding signal interference and maximizing the utilization efficiency of the spectrum. This method can optimize the stability and efficiency of data transmission while ensuring the high fidelity of audio signals, and is particularly suitable for application scenarios with strict requirements for audio quality, such as high-quality music streaming, professional audio broadcasting, and real-time audio communication.

[0003] In the prior art, although the high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency can effectively optimize spectrum resources and ensure the quality of audio transmission, there are still some drawbacks: low spectrum utilization: due to the use of a fixed frequency, the allocation of spectrum resources may not be flexible enough. When the spectrum usage changes (such as changes in channel quality, increase in the number of users, etc.), the fixed frequency may not be able to adjust dynamically, resulting in insufficient utilization of spectrum resources, especially in the case of unbalanced network loads; poor anti-interference ability: the fixed frequency allocation method may cause the signal quality to decline when some frequency bands are interfered and the spectrum resources cannot be adjusted automatically. This lack of flexibility in design is particularly prominent in multi-user environments or complex wireless environments; poor adaptability: the fixed frequency allocation method usually cannot make real-time adjustments according to the actual network state or application requirements, and may perform poorly in high-load or dynamically changing network environments. For network environments that require high dynamic adaptation, such as 5G or large-scale wireless networks, the fixed frequency allocation method may be difficult to meet the requirements; power consumption problem: to ensure high-fidelity audio transmission, the system may need to maintain a high signal power on the fixed frequency band, which will increase power consumption, especially in the case of long-term transmission. Especially for mobile devices or low-power devices, the fixed frequency may affect the battery life of the device; high computational overhead: Although it is a fixed frequency allocation, to achieve intelligent bandwidth allocation, the system still needs to intelligently evaluate and optimize spectrum resources, network state, and audio requirements, which may lead to a large computational overhead and affect the real-time response ability of the system; uneven allocation of spectrum resources: in some network environments, the fixed frequency allocation may not be able to dynamically adjust the bandwidth according to the actual needs of different application scenarios, affecting the audio transmission quality of some users. Especially when the network bandwidth is tight, it may not be able to meet the requirement of preferentially guaranteeing high-fidelity audio data.

[0004] For this reason, we propose a high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency. Summary of the Invention

[0005] To achieve the above object, the present invention provides the following technical solution: A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency, comprising the following steps:

[0006] S1: Intelligent spectrum sensing: Through the spectrum analysis module, the state of the wireless channel is monitored in real time, and information including signal strength, interference strength, channel quality, network load, channel idle condition, etc. is collected; According to this information, the optimal frequency band is selected through the spectrum sensing algorithm for audio data transmission.

[0007] S2: Intelligent power control: Based on the spectrum state and channel quality, a power adjustment algorithm is used to dynamically adjust the transmission power of audio data on the basis of a fixed frequency. This step ensures the priority of transmission quality when transmitting high-priority audio data according to the actual network load and the priority of audio data, and reduces power consumption under low-load conditions at the same time.

[0008] S3: Interference suppression and intelligent bandwidth allocation: Interference sources are identified and analyzed in real time, and the influence on audio data transmission is reduced through the interference suppression module. According to the intensity and type of interference sources, the bandwidth allocation of audio data is intelligently adjusted, and a low-interference frequency band is selected to transmit high-fidelity audio data, thereby ensuring the stability and quality of transmission.

[0009] S4: Adaptive QoS guarantee: According to the QoS requirements of the audio data stream transmitted in real time, the performance requirements such as bandwidth, delay and packet loss rate of the audio stream are preferentially guaranteed. The network resources are dynamically adjusted according to the network load to ensure low-latency and high-quality audio transmission, and the data streams with higher real-time requirements are processed preferentially.

[0010] S5: Network state feedback and intelligent adjustment: Through the network state feedback mechanism, combined with deep learning algorithms or other machine learning algorithms, the network state is predicted and analyzed in real time. According to factors such as network load, user distribution, and signal quality, the allocation strategy of spectrum resources is automatically adjusted to ensure the optimization of audio transmission quality under different network conditions.

[0011] Preferably, the intelligent spectrum sensing module monitors and analyzes the spectrum usage of the wireless channel through the spectrum sensing algorithm, and makes a selection among multiple frequency bands to avoid transmitting audio data in the interfered frequency band.

[0012] Preferably, the intelligent power control algorithm realizes adaptive power adjustment based on channel quality, load condition and the priority of the audio stream, optimizes energy efficiency while ensuring high-fidelity audio quality, and avoids unnecessary power consumption.

[0013] Preferably, the interference suppression technology analyzes the interference source in real time and filters the signal or avoids certain frequency bands to minimize the impact of interference on audio quality.

[0014] Preferably, the adaptive QoS guarantee mechanism preferentially allocates bandwidth, controls latency according to the real-time service quality requirements of the audio stream, and dynamically adjusts the bandwidth allocation according to different network states to ensure the real-time performance and stability of the audio stream.

[0015] Preferably, the network state feedback and intelligent adjustment analyze and predict through machine learning algorithms such as deep neural networks and support vector machines, and combine network load, audio stream priority, and real-time status to intelligently adjust the allocation strategy of spectrum resources.

[0016] Preferably, the spectrum analysis module and spectrum sensing algorithm can real-time sense and analyze the spectrum resource competition situation among users, adjust the bandwidth allocation according to resource requirements, and avoid resource waste.

[0017] Preferably, the audio data transmission process includes the transmission of multiple audio streams. Each audio stream adopts different bandwidth and power allocation strategies according to different requirements such as its priority and latency requirements to meet the requirements of high-fidelity audio transmission.

[0018] Compared with the prior art, the present invention provides a high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency, having the following beneficial effects:

[0019] 1. For the high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency, through intelligent spectrum sensing and dynamic adjustment, the present invention can achieve efficient allocation of spectrum resources in different network environments, avoid spectrum resource waste, and improve the spectrum utilization rate of the overall network. Through interference suppression and intelligent bandwidth allocation technologies, the present invention can effectively reduce the impact of signal interference on audio transmission and ensure the stability of audio quality.

[0020] 2. For the high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency, through the intelligent power control mechanism, it can reasonably adjust power consumption according to the network state and the actual requirements of audio data, avoid unnecessary energy waste, extend the service life of the device, and ensure the transmission quality of high-fidelity audio data, reduce latency and packet loss, and improve the user experience by real-time adjusting power, spectrum, and resource allocation.

[0021] 3. For the high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency, by adopting network state feedback and machine learning algorithms, it can adapt to the dynamic changes of the network environment and enhance the self-adaptability and stability of the system. Detailed implementation manner

[0022] The technical solutions in the embodiments of the present invention will be described clearly and completely below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0023] Embodiment

[0024] An embodiment of a high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency

[0025] A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency includes the following steps:

[0026] S1: Intelligent spectrum sensing: Through the spectrum analysis module, the state of the wireless channel is monitored in real time, and information including signal strength, interference strength, channel quality, network load, channel idle condition, etc. is collected; according to this information, the optimal frequency band is selected for audio data transmission through the spectrum sensing algorithm.

[0027] S2: Intelligent power control: Based on the spectrum state and channel quality, the power adjustment algorithm is used to dynamically adjust the transmission power of audio data on the basis of a fixed frequency. This step ensures the priority of transmission quality when high-priority audio data is transmitted according to the actual network load and the priority of audio data, and reduces power consumption in the low-load state at the same time.

[0028] S3: Interference suppression and intelligent bandwidth allocation: Interference sources are identified and analyzed in real time, and the influence on audio data transmission is reduced through the interference suppression module. According to the intensity and type of interference sources, the bandwidth allocation of audio data is intelligently adjusted, and a low-interference frequency band is selected to transmit high-fidelity audio data, thereby ensuring the stability and quality of transmission.

[0029] S4: Adaptive QoS guarantee: According to the QoS requirements of the audio data stream transmitted in real time, the performance requirements such as bandwidth, delay, and packet loss rate of the audio stream are guaranteed preferentially. The network resources are dynamically adjusted according to the network load to ensure low-latency and high-quality audio transmission, and the data streams with higher real-time requirements are processed preferentially.

[0030] S5: Network state feedback and intelligent adjustment: Through the network state feedback mechanism, the network state is predicted and analyzed in real time by combining deep learning algorithms or other machine learning algorithms. According to factors such as network load, user distribution, and signal quality, the allocation strategy of spectrum resources is automatically adjusted to ensure the optimization of audio transmission quality under different network conditions.

[0031] Specifically, the intelligent spectrum sensing module monitors and analyzes the spectrum usage of the wireless channel through spectrum sensing algorithms, and selects among multiple frequency bands to avoid transmitting audio data in the interfered frequency bands.

[0032] Specifically, the intelligent power control algorithm realizes adaptive power adjustment based on the channel quality, load condition, and priority of the audio stream, optimizes energy efficiency while ensuring high-fidelity audio quality, and avoids unnecessary power consumption.

[0033] Specifically, the interference suppression technology minimizes the impact of interference on audio quality by analyzing the interference source in real time and filtering the signal or avoiding the frequency band.

[0034] Specifically, the adaptive QoS guarantee mechanism preferentially allocates bandwidth, controls latency according to the real-time service quality requirements of the audio stream, and dynamically adjusts the bandwidth allocation according to different network states to ensure the real-time performance and stability of the audio stream.

[0035] Specifically, the network state feedback and intelligent adjustment analyze and predict through machine learning algorithms such as deep neural networks and support vector machines, and combine the network load, audio stream priority, and real-time state to intelligently adjust the allocation strategy of spectrum resources.

[0036] Specifically, the spectrum analysis module and spectrum sensing algorithms can real-time sense and analyze the spectrum resource competition situation among users, adjust the bandwidth allocation according to the resource demand, and avoid resource waste.

[0037] Specifically, the audio data transmission process includes the transmission of multiple audio streams, and each audio stream adopts different bandwidth and power allocation strategies according to different requirements such as its priority and delay requirement to meet the high-fidelity audio transmission requirements.

[0038] Through the above technical solutions, in the present invention, through intelligent spectrum sensing and dynamic adjustment, the present invention can achieve efficient allocation of spectrum resources in different network environments, avoid spectrum resource waste, and improve the spectrum utilization rate of the overall network. Through interference suppression and intelligent bandwidth allocation technologies, the present invention can effectively reduce the impact of signal interference on audio transmission and ensure the stability of audio quality. Through the intelligent power control mechanism, it can reasonably adjust the power consumption according to the network state and the actual demand of audio data, avoid unnecessary energy waste, and extend the service life of the device. Through real-time adjustment of power, spectrum, and resource allocation, the present invention ensures the transmission quality of high-fidelity audio data, reduces latency and packet loss, and improves the user experience. By adopting network state feedback and machine learning algorithms, it can adapt to the dynamic changes of the network environment and enhance the self-adaptability and stability of the system.

[0039] 1. System hardware composition:

[0040] The system of the present invention mainly consists of the following parts:

[0041] Spectrum sensing module: Responsible for real-time monitoring of the status of the wireless channel, including data such as signal strength, interference strength, and channel quality. Through this module, the spectrum usage and possible interference sources are obtained, providing data support for bandwidth allocation.

[0042] Power control module: According to the spectrum sensing results and channel quality, intelligently adjust the transmission power of audio data to ensure optimal energy efficiency and reduce unnecessary power consumption while ensuring audio quality.

[0043] Interference suppression module: Real-time identify and analyze interference sources, filter the interference signals, or select other less interfered frequency bands for data transmission to ensure that the audio quality is not affected by interference.

[0044] QoS guarantee module: According to the service quality requirements of the audio data stream, adjust the bandwidth, delay, and packet loss rate in real time to ensure the quality of high-priority audio streams and avoid resource conflicts for low-priority streams.

[0045] Intelligent adjustment module: This module predicts and analyzes network load, audio stream priority, channel quality, etc. through deep learning algorithms, etc., and dynamically adjusts spectrum resources in combination with the network status.

[0046] Feedback mechanism: Real-time feedback the network status, predict and analyze the network load and resource requirements based on historical data and real-time data analysis, and feedback to the adjustment module.

[0047] 2. Signal processing flow:

[0048] In a wireless communication system, during the process of transmitting an audio signal from the source end to the receiving end, the following steps will be passed through:

[0049] Step 1: Spectrum sensing: The system continuously collects various information of the wireless channel (such as signal strength, noise, interference, etc.) through the spectrum sensing module. An efficient spectrum sensing algorithm (such as fast Fourier transform, FFT) is used to monitor the channel in real time.

[0050] Step 2: Interference source identification and frequency band selection: During the spectrum sensing process, the system can identify and locate interference sources, and adjust the transmission frequency band of the audio stream through an interference suppression algorithm. According to the real-time feedback, the system selects the frequency band with the least current interference and the best signal quality for audio data transmission.

[0051] Step 3: Power control and bandwidth adjustment: According to the current channel quality, network load, and QoS requirements, the system dynamically adjusts the power and allocates appropriate bandwidth. The power control algorithm adjusts the transmission power according to the delay and packet loss rate requirements of the target audio data stream to ensure the transmission quality.

[0052] Step 4: Audio stream QoS guarantee: Based on the quality of service requirements of the audio stream, the system adjusts the bandwidth allocation according to the priority, latency requirements, etc. of each audio stream. Priority is given to ensuring the transmission of low-latency and high-fidelity audio streams to ensure the high quality of audio data.

[0053] Step 5: Dynamic feedback and adjustment: Through the feedback mechanism, the system can predict the future network load based on the network state and the changes in the real-time data stream, and adjust the allocation of spectrum resources in real time to optimize the stability and quality of audio transmission.

[0054] 3. Algorithm and intelligent adjustment:

[0055] The present invention employs deep learning algorithms (such as convolutional neural networks or deep neural networks) to learn and analyze network load, audio stream priority, signal quality, etc. Based on historical data and real-time data, it predicts and adjusts the network resource allocation strategy. The specific implementation methods are as follows:

[0056] Data collection: The system collects and records the transmission quality (such as packet loss rate, latency, etc.) of each audio stream and the relevant channel state data.

[0057] Feature extraction: Extract key features (such as signal strength, spectrum usage, interference situation, etc.) that affect the audio transmission quality from the collected data.

[0058] Model training: Train a deep neural network model based on historical data for real-time prediction of the transmission requirements of audio streams, and optimize the allocation of frequency bandwidth, power, and bandwidth.

[0059] Real-time prediction and adjustment: In practical applications, the system dynamically adjusts the spectrum resources according to real-time data and network state to ensure that high-priority audio streams can obtain sufficient bandwidth and ensure the high-fidelity transmission of audio data.

[0060] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency, characterized in that: It includes the following steps: S1: Intelligent spectrum sensing: Through the spectrum analysis module, the state of the wireless channel is monitored in real time, and information including signal strength, interference strength, channel quality, network load, channel idle condition, etc. is collected; according to this information, the optimal frequency band is selected for audio data transmission through the spectrum sensing algorithm. S2: Intelligent power control: Based on the spectrum state and channel quality, the power adjustment algorithm is used to dynamically adjust the transmission power of audio data on the basis of a fixed frequency. This step ensures the transmission quality is prioritized when high-priority audio data is transmitted according to the actual network load and the priority of audio data, and at the same time reduces power consumption in the low-load state. S3: Interference suppression and intelligent bandwidth allocation: Identify and analyze interference sources in real time, and reduce the impact on audio data transmission through the interference suppression module. According to the intensity and type of the interference source, the bandwidth allocation of audio data is intelligently adjusted, and a low-interference frequency band is selected to transmit high-fidelity audio data, thereby ensuring the stability and quality of the transmission. S4: Adaptive QoS guarantee: According to the QoS requirements of the real-time transmitted audio data stream, the performance requirements such as the bandwidth, delay, and packet loss rate of the audio stream are prioritized. Dynamically adjust network resources according to the network load to ensure low-latency and high-quality audio transmission, and give priority to processing data streams with higher real-time requirements. S5: Network state feedback and intelligent adjustment: Through the network state feedback mechanism, combined with deep learning algorithms or other machine learning algorithms, the network state is predicted and analyzed in real time. Based on factors such as network load, user distribution, and signal quality, the allocation strategy of spectrum resources is automatically adjusted to ensure the optimization of audio transmission quality under different network conditions.

2. The high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency according to claim 1, characterized in that: The intelligent spectrum sensing module monitors and analyzes the spectrum usage of the wireless channel through the spectrum sensing algorithm, and makes a selection among multiple frequency bands to avoid transmitting audio data in the interfered frequency band.

3. A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency according to claim 1, characterized in that: The intelligent power control algorithm realizes adaptive power adjustment based on channel quality, load conditions, and the priority of the audio stream, optimizes energy efficiency while ensuring high-fidelity audio quality, and avoids unnecessary power consumption.

4. A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency according to claim 1, characterized in that: The interference suppression technology minimizes the impact of interference on audio quality by analyzing interference sources in real time and filtering the signal or avoiding the frequency band.

5. A high-fidelity audio transmission method for intelligent bandwidth allocation with a fixed frequency according to claim 1, characterized in that: The adaptive QoS guarantee mechanism prioritizes bandwidth allocation, controls delay according to the real-time service quality requirements of the audio stream, and dynamically adjusts bandwidth allocation according to different network states to ensure the real-time performance and stability of the audio stream.

6. A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency according to claim 1, characterized in that: The network state feedback and intelligent adjustment are analyzed and predicted through machine learning algorithms such as deep neural networks and support vector machines, and the allocation strategy of spectrum resources is intelligently adjusted in combination with network load, audio stream priority, and real-time state.

7. A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency according to claim 1, characterized in that: The spectrum analysis module and the spectrum sensing algorithm can sense and analyze the spectrum resource competition situation among users in real time, adjust the bandwidth allocation according to resource requirements, and avoid resource waste.

8. A high-fidelity audio transmission method with intelligent bandwidth allocation at a fixed frequency according to claim 1, characterized in that: The audio data transmission process includes the transmission of multiple audio streams. Each audio stream adopts different bandwidth and power allocation strategies according to different requirements such as its priority and delay requirements to meet the high-fidelity audio transmission requirements.