Vehicle-mounted adaptive communication method and system

Abstract

This invention relates to a vehicle-mounted adaptive communication method and system. The method includes: after the vehicle starts, searching for an ad hoc network via the vehicle's in-vehicle communication terminal, sending an access request and accepting authentication, and accessing the ad hoc network after successful authentication; during voice communication via the ad hoc network, collecting environmental data of the vehicle in real time, and predicting the optimal communication channel and transmission power parameters based on the environmental data; using the optimal communication channel and applying the transmission power parameters for voice communication, and monitoring the channel quality of the optimal communication channel during voice communication; when the channel quality does not meet a preset quality threshold, re-determining a new optimal communication channel, switching to the new optimal communication channel, and updating the transmission power parameters to continue voice communication. Using this invention can improve the reliability of in-vehicle communication terminal communication and the clarity of voice calls.

Description

Technical Field

[0001] This invention relates to the field of vehicle communication technology, and in particular to a vehicle adaptive communication method and system. Background Technology

[0002] Vehicle-mounted self-organizing network communication technology is a key infrastructure in scenarios such as multi-vehicle collaborative operation, fleet management, and outdoor group travel. Its characteristic of not relying on fixed infrastructure such as cellular networks makes it irreplaceable in environments without public network coverage or with poor signal.

[0003] Currently, the mainstream solutions for direct communication between vehicles mainly include vehicle-mounted walkie-talkies and self-organizing network devices based on simple rules. However, these existing technologies cannot adapt the communication channel to the vehicle's transmission power when dealing with high-speed movement, complex electromagnetic environments, and dynamically changing network topologies. This leads to a sharp decline in communication quality in high-speed movement or complex geographical environments, reducing the reliability of vehicle-mounted self-organizing network communication and the clarity of voice calls. Summary of the Invention

[0004] In view of this, it is necessary to provide an in-vehicle adaptive communication method and system to solve the technical problems of low communication reliability and low voice call clarity in existing in-vehicle ad hoc network communication methods.

[0005] To address the aforementioned problems, in a first aspect, the present invention provides an in-vehicle adaptive communication method, comprising: After the vehicle starts, it searches for the self-organizing network through the vehicle's onboard communication terminal, sends an access request and accepts identity authentication, and accesses the self-organizing network after passing the identity authentication. During voice communication via the self-organizing network, environmental data of the vehicle is collected in real time, and the optimal communication channel and transmission power parameters are predicted based on the environmental data. Voice communication is performed using the optimal communication channel and the transmission power parameters, and the channel quality of the optimal communication channel is monitored during the voice communication process. When the channel quality does not meet the preset quality threshold, a new optimal communication channel is determined and switched to, and the transmit power parameters are updated to continue voice communication.

[0006] In one possible implementation, the use of the optimal communication channel and the application of the transmit power parameters for voice communication includes: The transmitted voice signal is encrypted using the transmit power parameters and the receiver's public key, and then transmitted through the optimal communication channel. The receiver's public key is the public key obtained and verified from the receiver during the authentication process for accessing the ad hoc network. The transmitted power parameters are applied, and the vehicle's private key is used to decrypt the encrypted voice signal received through the optimal communication channel.

[0007] In one possible implementation, before switching to the new optimal communication channel, the following is also included: Store the voice data to be sent or received into the buffer area; The switching to the new optimal communication channel includes: Voice data is read from the buffer and played or sent.

[0008] In one possible implementation, predicting the optimal communication channel and transmit power parameters based on the environmental data includes: The communication channels within the preset communication frequency band are scanned to obtain the interference intensity and occupancy rate of each communication channel; Based on the vehicle speed and location information in the environmental data, predict the stability of each of the communication channels within a preset time period in the future; The optimal communication channel is determined based on the interference intensity, occupancy rate, and stability prediction value. Based on the vehicle distance and obstacle information in the environmental data, the transmission power parameters adapted to the optimal communication channel are calculated.

[0009] In one possible implementation, predicting the channel quality of each communication channel within a preset time period based on vehicle speed and location information in the environmental data includes: The vehicle speed and location information from the environmental data are input into the trained channel quality prediction model. Obtain the stability prediction value within a future preset time period from the output of the channel quality prediction model.

[0010] In one possible implementation, calculating the transmit power parameters adapted to the optimal communication channel based on the inter-vehicle distance and obstacle information in the environmental data includes: Based on the vehicle location information in the environmental data, calculate the real-time distance to the vehicle at the other end of the voice communication. Based on the real-time distance, the optimal communication channel, and the obstacle information, a preset power mapping table is queried to determine the transmission power parameters.

[0011] In one possible implementation, determining the optimal communication channel based on the interference intensity, occupancy rate, and stability prediction value includes: The channel quality is obtained by weighting and summing the predicted values ​​of interference intensity, occupancy rate, and stability with their respective preset weights. The optimal communication channel is determined based on the channel quality.

[0012] In one possible implementation, the identity authentication steps include: The vehicle identification number is provided in the access request; Receive identity authentication information from the self-organizing network, and authenticate the identity authentication information based on the preset password corresponding to the vehicle identification code.

[0013] In one possible implementation, continuing voice communication includes: Voice communication is conducted using asymmetric encryption. After a single call ends, the vehicle's current encryption key is updated.

[0014] Secondly, the present invention also provides an in-vehicle adaptive communication system, comprising: The access unit is used to search for the self-organizing network through the vehicle's on-board communication terminal after the vehicle starts, send an access request and accept identity authentication, and access the self-organizing network after passing the identity authentication. An adaptation unit is used to collect environmental data of the vehicle in real time during voice communication through the self-organizing network, and predict the optimal communication channel and transmission power parameters based on the environmental data. A monitoring unit is used to perform voice communication using the optimal communication channel and the transmission power parameters, and to monitor the channel quality of the optimal communication channel during the voice communication process. The communication unit is used to determine a new optimal communication channel and switch to the new optimal communication channel when the channel quality does not meet a preset quality threshold, and to update the transmission power parameters to continue voice communication.

[0015] Thirdly, the present invention also provides a communication device for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps of the vehicle-mounted adaptive communication method described in any of the above implementations.

[0016] The beneficial effects of this invention are: The vehicle-mounted adaptive communication method provided by this invention allows the vehicle to search for an ad hoc network after startup, send an access request, and undergo authentication via its onboard communication terminal. Upon successful authentication, the vehicle accesses the ad hoc network, achieving a strong binding between vehicle identity and network permissions from the physical source. This effectively prevents unauthorized access through software forgery, password eavesdropping, or device cloning, improving the security and reliability of network construction. During voice communication via the ad hoc network, environmental data is collected in real time, and the optimal communication channel and transmission power parameters are predicted based on this data, improving signal transmission reliability and call clarity. Furthermore, this method reduces the power consumption of the onboard communication terminal and minimizes interference to other communication nodes within the ad hoc network, optimizing overall network spectrum efficiency and energy utilization. This system improves the robustness, clarity, and efficiency of the communication link. It employs the optimal communication channel and applies transmit power parameters for voice communication, monitoring the channel quality during the process. This establishes a real-time perception and feedback loop for the communication link status, enabling adaptive adaptation of the communication channel. This facilitates rapid channel switching and reduces the probability of communication interruptions due to sudden environmental changes. When the channel quality fails to meet the preset quality threshold, a new optimal communication channel is determined and the system switches to it, updating the transmit power parameters to continue voice communication. This rapidly migrates the communication link to a higher-quality channel, ensuring immediate clarity and stability of voice communication after switching, and improving the reliability and clarity of the vehicle-mounted communication terminal. Attached Figure Description

[0017] Figure 1 This is a schematic flowchart of an embodiment of the vehicle-mounted adaptive communication method provided by the present invention; Figure 2 Provided by the present invention Figure 1 A schematic diagram of an embodiment of S103; Figure 3 This is a structural block diagram of the vehicle-mounted adaptive communication system provided by the present invention; Figure 4 This is a schematic diagram of the overall process of the vehicle-mounted adaptive communication method provided by the present invention; Figure 5 The logic diagram of the dynamic channel adaptation algorithm provided by this invention; Figure 6 This is a schematic diagram of the structure of the vehicle-mounted adaptive communication system provided by the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0019] In the description of the embodiments of the present invention, unless otherwise stated, "a plurality of" means two or more.

[0020] The terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] This invention provides a vehicle-mounted adaptive communication method and system, which will be described below.

[0023] The execution subject of the vehicle-mounted adaptive communication method in this application embodiment can be the vehicle-mounted adaptive communication system provided in this application embodiment, or different types of electronic devices such as server equipment, physical host, or user equipment (UE) that integrate the vehicle-mounted adaptive communication system. The vehicle-mounted adaptive communication system can be implemented in hardware or software. The UE can be a terminal device such as a smartphone, tablet computer, laptop computer, handheld computer, desktop computer, or personal digital assistant (PDA).

[0024] The vehicle-mounted adaptive communication method described in this application is primarily aimed at various multi-vehicle collaborative scenarios that rely on stable, secure, and high-quality voice communication, especially in environments where public networks (such as cellular networks) are unavailable, unstable, or unreliable. It addresses the fundamental shortcomings of traditional solutions in dynamic and complex environments through high-performance, self-organized communication between vehicles. Its application scenarios include commercial and operational fleet management scenarios, such as long-haul logistics fleets, construction vehicle fleets, or emergency service fleets.

[0025] Figure 1This is a schematic flowchart of an embodiment of the vehicle-mounted adaptive communication method provided by the present invention, as shown below. Figure 1 As shown, the vehicle-mounted adaptive communication method includes: S101. After the vehicle starts, it searches for the self-organizing network through the vehicle's onboard communication terminal, sends an access request and accepts identity authentication, and accesses the self-organizing network after passing the identity authentication.

[0026] Among them, vehicle start refers to the process where the vehicle is started by ignition. Once the vehicle is started, its on-board communication terminal begins network setup and authentication.

[0027] Identity authentication refers to a secure verification process that a vehicle node must pass when requesting to join an ad hoc network composed of other vehicles. It verifies the legitimacy of the requesting vehicle's identity and whether it is permitted by the network, thereby ensuring the security of all subsequent communications. This can be implemented through a challenge-response mechanism based on a pre-shared key, such as the HMAC-SHA256 algorithm; or through a signature verification mechanism based on public key certificates, such as the ECC digital signature algorithm. The challenge information used during authentication is preferably a random number to prevent replay attacks.

[0028] Specifically, once the vehicle is started, its onboard communication terminal automatically begins operation. The terminal first performs a periodic scan within a preset communication range, for example, a radius of 1 to 5 kilometers, searching for a wireless ad hoc network composed of other vehicle nodes within the same system. Upon finding an available network, the terminal sends an access request to one or more target nodes within that network. This access request encapsulates the vehicle's unique identifier, which, combined with preset cryptography, enables authentication. Vehicles that pass authentication are confirmed as legitimate nodes and allowed to join the ad hoc network. This physically binds vehicle identity to network access, effectively preventing unauthorized access through software forgery, password eavesdropping, or device cloning, thus improving the security and reliability of network construction.

[0029] In one specific implementation, after the vehicle starts, the onboard communication terminal automatically begins scanning to search for other vehicles within a 1-5km radius and sends an access request containing its own VIN code to the target node. Upon receiving the request, the target node verifies the VIN code and the preset password through the central control unit. If the verification is successful, it joins the self-organizing network, forming a local communication cluster.

[0030] S102. During the voice communication process through the self-organizing network, environmental data of the vehicle is collected in real time, and the optimal communication channel and transmission power parameters are predicted based on the environmental data.

[0031] The environmental data can include the vehicle's position, speed, communication frequency band interference intensity, and obstacle distribution data. This data can be collected in real time by the environmental perception module and transmitted to the central control unit. The environmental perception module includes a dual-mode satellite positioning unit for acquiring the vehicle's precise coordinates and time information, onboard sensors for acquiring real-time vehicle speed and acceleration, an electromagnetic interference detector for scanning the noise intensity of each channel within the current communication frequency band, and millimeter-wave radar for detecting the outline and material information of obstacles within a preset distance around the vehicle.

[0032] The optimal communication channel refers to the communication channel with the highest communication quality in the future communication window, predicted by a comprehensive scoring mechanism from multiple specific frequency points (communication channels) within all preset available frequency bands, such as U-band and V-band, at a specific time. For example, it is the channel with the least interference and the most stable.

[0033] Transmit power parameters refer to the transmit power values ​​set for the power amplifier of the vehicular communication terminal, matching the optimal communication channel. Based on real-time geometric distances between vehicles and obstacle information along the propagation path, path loss during signal propagation can be determined, allowing for accurate power compensation and obtaining suitable transmit power parameters. This avoids all vehicles in the network transmitting at maximum power, reducing interference between vehicles in the same and adjacent channels within the ad hoc network, and improving overall network capacity and stability. Furthermore, on-demand power supply reduces the power consumption of the vehicular communication terminal, improving the range of electric vehicles.

[0034] Specifically, while the vehicle is conducting voice communication via an ad hoc network, its integrated environmental perception module continuously collects multi-dimensional environmental data at a preset frequency, such as once per second. This environmental data can be filtered and preprocessed before being reported to the vehicle's central processing unit. Subsequently, a dynamic channel adaptation module can determine candidate communication channels. For each candidate channel, based on the filtered and preprocessed environmental data, a pre-trained machine learning model predicts the quality change trend of each candidate communication channel in the near future. Then, the optimal communication channel is predicted, and based on the environmental data, the transmission power parameters adapted to the optimal communication channel are determined. This improves the adaptability of the vehicle's communication equipment's dynamic channel to the vehicle's environment, thereby enhancing communication reliability and voice call clarity.

[0035] Understandably, this embodiment ensures that the signal strength is sufficient to overcome path loss caused by increased distance and obstacle obstruction by predicting the optimal communication channel, thus guaranteeing reliable reception of voice data; it also avoids unnecessary over-power transmission in good environments. On the one hand, it improves the reliability of signal transmission and call clarity; on the other hand, it reduces the power consumption of the vehicle-mounted communication terminal and the co-channel interference caused to other communication nodes in the entire ad hoc network, optimizes the overall network spectrum efficiency and energy utilization efficiency, and improves the robustness, clarity, and efficiency of the communication link.

[0036] S103. Use the optimal communication channel and apply the transmission power parameters to perform voice communication, and monitor the channel quality of the optimal communication channel during the voice communication process.

[0037] Specifically, after the central control unit sends the optimal communication channel and transmission power parameters to the RF front-end of the vehicle communication terminal and completes the configuration, the vehicle uses the optimal communication channel and transmission power parameters for voice communication. This avoids interference, selects the best propagation path, and precisely controls signal strength, thereby enhancing the anti-interference capability of communication in high-speed movement or complex geographical environments, improving communication reliability and voice call clarity. Furthermore, during voice communication, the channel quality of the optimal communication channel is monitored, constructing a real-time perception and feedback loop for the communication link status. This enables adaptive adaptation of the communication channel, facilitating rapid switching of the communication channel, reducing the probability of communication interruption due to sudden environmental changes, and improving the stability and clarity of voice calls.

[0038] S104. When the channel quality does not meet the preset quality threshold, a new optimal communication channel is determined and switched to the new optimal communication channel, and the transmission power parameters are updated to continue voice communication.

[0039] Among them, the preset quality threshold is a pre-set critical value used to determine whether the quality of the communication channel meets the requirements.

[0040] Specifically, when the channel quality does not meet the preset quality threshold, it indicates that the current optimal communication channel has low quality and does not meet the requirements. Following step S102, a new optimal communication channel is determined, and the system switches to the new optimal communication channel. Simultaneously, the current transmit power parameters are updated to be compatible with the current environment and the new optimal communication channel. This quickly migrates the communication link to a higher-quality communication channel, enabling continued voice communication on the newly established optimized link. This achieves seamless voice communication continuity for the user, improving the user experience. Furthermore, upon completion of the switch, the vehicle can establish an optimized communication link with dynamically matched communication channels and transmit power to environmental data, ensuring immediate clarity and stability of voice communication after the switch, and improving the reliability of the vehicle communication terminal and the clarity of voice calls.

[0041] In summary, the vehicle-mounted adaptive communication method provided in this embodiment of the invention, after vehicle startup, searches for an ad hoc network through the vehicle's onboard communication terminal, sends an access request and accepts identity authentication. Upon successful authentication, it accesses the ad hoc network, achieving a strong binding between vehicle identity and network permissions from the physical source. This effectively prevents unauthorized access through software forgery, password eavesdropping, or device cloning, improving the security and reliability of network construction. During voice communication through the ad hoc network, environmental data of the vehicle is collected in real time, and the optimal communication channel and transmission power parameters are predicted based on this data, improving signal transmission reliability and call clarity. Furthermore, it reduces the power consumption of the onboard communication terminal and reduces co-channel interference to other communication nodes within the ad hoc network, optimizing the overall network spectrum efficiency and power consumption. By improving resource utilization efficiency, the robustness, clarity, and efficiency of the communication link are enhanced. The optimal communication channel is employed, and transmission power parameters are applied for voice communication. During voice communication, the channel quality of the optimal communication channel is monitored, constructing a real-time perception and feedback loop for the communication link status. This enables adaptive adaptation of the communication channel, facilitating rapid switching and reducing the probability of communication interruptions due to sudden environmental changes. When the channel quality fails to meet the preset quality threshold, a new optimal communication channel is determined and the system switches to it, updating the transmission power parameters to continue voice communication. This rapidly migrates the communication link to a higher-quality communication channel, ensuring immediate clarity and stability of voice communication after switching, and improving the reliability and clarity of the vehicle-mounted communication terminal.

[0042] In some embodiments of the present invention, step S103 includes: applying the transmission power parameters and encrypting the voice signal to be transmitted using the receiver's public key, and transmitting it through the optimal communication channel, wherein the receiver's public key is a public key obtained and verified from the receiver during the identity authentication process for accessing the ad hoc network; applying the transmission power parameters and decrypting the encrypted voice signal received through the optimal communication channel using the vehicle's private key.

[0043] Specifically, on the transmitting side, the vehicle, as the sender, configures its radio frequency front-end using the predetermined transmit power parameters and uses the public key of the receiver (i.e., the target communication vehicle) to encrypt the original voice signal to be transmitted, forming an encrypted signal, which is then transmitted through the selected optimal communication channel. On the receiving side, the vehicle, as the receiver, configures its radio frequency receiving parameters using the same mechanism and uses its own private key, paired with the public key, to decrypt the encrypted signal received from the optimal communication channel to recover the original voice signal.

[0044] Understandably, in this embodiment, the sender uses the receiver's public key for encryption, ensuring that only the receiver holding the corresponding private key can decrypt the information. Even if the signal is intercepted during transmission, the attacker cannot crack the content because they do not have the corresponding private key, thus ensuring the confidentiality of the communication content. By forcibly using asymmetric encryption, end-to-end encryption of the communication content is achieved, effectively eliminating the risk of the signal being eavesdropped during transmission.

[0045] In one specific implementation, after vehicle B (the receiver) successfully joins the self-organizing network through dual authentication based on its Vehicle Identification Number (VIN) and a preset password, its onboard communication terminal broadcasts its public key certificate to other legitimate nodes in the network (or through a trusted central control unit). When vehicle A (the sender) wishes to communicate with vehicle B, vehicle A retrieves vehicle B's public key certificate from the network and verifies the certificate's digital signature (which may be generated by a trusted entity in the network or vehicle B's private key) to confirm the authenticity and integrity of the public key, ensuring that the certificate has not been tampered with and truly belongs to the authenticated vehicle B. In this way, the possibility of attackers impersonating legitimate nodes or providing fake public keys to conduct man-in-the-middle attacks is fundamentally eliminated.

[0046] In another specific implementation, the user presses the call button to initiate a request. The voice signal is encoded by the central control unit, encrypted by the encryption communication module using the recipient's public key, and transmitted through the optimal channel. After receiving the signal, the receiving terminal sequentially completes decryption and decoding, and outputs the voice through the car audio system or headphones, with a total latency of ≤300ms.

[0047] In some embodiments of the present invention, before step S104, the method further includes: storing the voice data to be sent or received into a buffer; the switching to the new optimal communication channel includes: reading the voice data from the buffer for playback or transmission.

[0048] Specifically, to ensure that users are completely unaware of voice interruptions or stuttering during the switching process, a caching technique is employed to guarantee the continuity of voice communication. Before the communication channel switch is triggered, the transmitting end caches the voice data to be sent, while the receiving end slows down the playback rate and caches the received voice data. During the physical channel switch, the receiving end plays the cached voice data. After the new channel is established, the transmitting end prioritizes sending the cached voice data, and the receiving end smoothly resumes normal playback rate. This ensures that users are unaware of call interruptions or stuttering, guaranteeing the continuity of voice communication and improving the user experience.

[0049] Understandably, this embodiment performs forward-looking caching and smooth playback processing on the voice data stream, so that the brief interruption period of physical layer radio frequency switching is filled by the cached data, achieving a seamless transition from the user's auditory perspective.

[0050] In some embodiments of the present invention, such as Figure 2 As shown, step S103 includes: S201. Scan the communication channels within the preset communication frequency band to obtain the interference intensity and occupancy rate of each communication channel; S202. Based on the vehicle speed and location information in the environmental data, predict the stability prediction value of each of the communication channels within a preset time period in the future. S203. Determine the optimal communication channel based on the interference intensity, occupancy rate, and stability prediction value; S204. Based on the vehicle distance and obstacle information in the environmental data, calculate the transmission power parameters adapted to the optimal communication channel.

[0051] Interference intensity is typically measured in decibels and milliwatts, reflecting the noise level from non-cooperative signal sources; channel occupancy is expressed as a percentage, indicating the proportion of the communication channel occupied by other communication activities within the current time window.

[0052] Specifically, the RF front-end of the vehicle-mounted communication terminal can scan all available communication channels within a preset communication frequency band to obtain the current interference intensity and channel occupancy rate of each communication channel. Then, using the vehicle's motion vector combined with a signal propagation model, the stability of each channel over a preset future time period is evaluated. The calculation of the stability prediction value depends on the vehicle's own motion state information, such as predicting the changing trend of the line-of-sight path between the vehicle and the communication peer in the next few seconds, as well as possible obstacle obstruction, thereby inferring the changing trend and fluctuation variance of the signal strength of each channel. This transforms the communication environment from static assessment to dynamic prediction, which is beneficial for achieving preventive channel switching. Based on the interference intensity, occupancy rate, and predicted future stability, the quality score of each communication channel is calculated. The optimal communication channel is selected based on the quality scores of each communication channel, ensuring that the selected communication channel can maintain relatively stable communication quality over a preset future time period while ensuring the current communication quality. Finally, based on the vehicle distance and obstacle information in the environmental data, the transmission power parameters that match the optimal communication channel are calculated, realizing adaptive adaptation of the transmission power parameters, improving the accuracy of the transmission power parameters, ensuring communication quality, and avoiding unnecessary power waste and interference to other nodes.

[0053] Understandably, in this embodiment, the dynamic adaptive mechanism of channel selection and power control ensures high definition and high stability of the voice communication link in high-speed mobile and complex geographical environments.

[0054] In one specific implementation, the dynamic channel adaptation module realizes intelligent channel selection and switching based on environmental data. First, it scans all channels within the preset frequency band and records parameters such as interference intensity and occupancy rate. Then, combined with changes in vehicle speed and position, it uses a machine learning model to predict the channel quality within the next 5 seconds. Finally, it calculates the adaptation score according to the weights of "lowest interference, lowest occupancy rate, and most stable quality", selects the optimal communication channel, and sends the optimal channel parameters (frequency band, frequency, power) to the vehicle communication terminal. The terminal completes channel switching and transmit power parameter configuration within 100ms.

[0055] In some embodiments of the present invention, step S202 includes: inputting vehicle speed and location information from the environmental data into a trained channel quality prediction model; and obtaining the stability prediction value within a future preset time period from the output of the channel quality prediction model.

[0056] The channel quality prediction model is a mathematical model built based on machine learning or deep learning algorithms. This model is trained using historical data to learn the complex nonlinear mapping relationship between vehicle trajectory, position changes, and time-varying characteristics of the wireless channel (such as signal strength fluctuations, Doppler shift, and fading patterns). For example, time series prediction models such as Long Short-Term Memory (LSTM) networks or Gated Recurrent Units (GRUs) can be used. Regression models such as Gradient Boosting Decision Trees (GBDTs) or Random Forests can also be employed, combining multiple decision trees to comprehensively assess channel quality under the combined influence of various environmental factors. Alternatively, a Deep Neural Network (DNN) architecture can be used to automatically extract high-level features from the original environmental data through multi-layer nonlinear transformations, thereby completing the prediction.

[0057] Stability prediction is a quantitative evaluation metric used to characterize the expected probability or level of a specific channel maintaining stable communication quality over a future period.

[0058] Specifically, collected environmental data, such as dynamically changing real-time vehicle speed and location information, is input into the channel quality prediction model. The model outputs a stability prediction value for each scanned communication channel within a preset time period, such as the next 5 seconds. This allows for dynamic avoidance of existing strong interference and congested channels, and for anticipating and avoiding channels whose quality will deteriorate due to vehicle movement. This enables preventative channel management. For example, it can predict in advance that a vehicle is about to enter an area with severe signal obstruction (such as behind a tall building or at a tunnel entrance), or predict that the Doppler effect caused by increased relative motion will cause a sharp decline in the quality of a certain channel. Thus, it can initiate channel switching assessment and preparation operations in advance before the channel quality actually deteriorates to the point of affecting the call, thereby fundamentally reducing the probability of call interruption due to a sudden drop in channel quality and improving the continuity and stability of voice communication in high-speed movement and complex geographical environments.

[0059] In some embodiments of the present invention, step S204 includes: calculating the transmission power parameters adapted to the optimal communication channel based on the vehicle distance and obstacle information in the environmental data, including: calculating the real-time distance to the vehicle at the other end of the voice communication based on the vehicle position information in the environmental data; and querying a preset power mapping table based on the real-time distance, the optimal communication channel, and the obstacle information to determine the transmission power parameters.

[0060] The preset power mapping table is a pre-configured mapping table between real-time distance, communication channel, obstacle information and adapted transmission power parameters.

[0061] Specifically, the real-time distance to the vehicle in voice communication can be calculated based on the vehicle location information in the environmental data; based on the real-time distance, the optimal communication channel, and obstacle information, a preset power mapping table is queried to determine the transmission power parameters, achieving high-speed and low-latency power adjustment, ensuring communication quality while avoiding excessive interference and energy consumption.

[0062] It is worth noting that the operating frequency, real-time distance, and obstacle attenuation factor of the optimal communication channel can also be substituted into the radio wave propagation model, such as the free space propagation model or the Okumura-Hata model, to calculate the minimum transmit power required to overcome path loss. A certain margin is added to the minimum transmit power to cope with signal fluctuations, thereby obtaining the final adapted transmit power parameters.

[0063] In some embodiments of the present invention, step S203 includes: determining the optimal communication channel based on the interference intensity, occupancy rate and the stability prediction value, including: performing a weighted summation calculation on the interference intensity, occupancy rate and stability prediction value with their respective preset weights to obtain the channel quality; and determining the optimal communication channel based on the channel quality.

[0064] Specifically, each communication channel is scored according to a pre-defined scoring function. This function can be a weighted model, whose variables include at least the current interference intensity (weights tend to favor higher scores for lower interference), the current occupancy rate (weights tend to favor higher scores for lower occupancy), and the predicted future stability (weights tend to favor higher scores for greater stability). Finally, the channel with the highest overall score is selected as the optimal communication channel for the current moment. By quantifying the quality of the communication channels, the accuracy of the optimal communication channel is improved.

[0065] It is worth noting that the interference intensity, occupancy rate, and stability prediction value can be dynamically and finely adjusted according to the vehicle's current driving status (such as low speed in urban areas or highways) or communication mode (such as regular calls or emergency broadcasts) and their respective preset weights. For example, the weight of the stability prediction value can be appropriately increased when driving at high speeds.

[0066] In some embodiments of the present invention, the identity authentication step includes: providing a vehicle identification code in the access request; receiving identity authentication information from the ad hoc network; and authenticating the identity authentication information based on a preset password corresponding to the vehicle identification code.

[0067] In this context, identity authentication information refers to dynamic information generated and issued by authentication nodes in a self-organizing network, such as authorized vehicles already connected to the network or designated central control units, during the authentication process. This information is used to verify whether the requester possesses valid credentials. Specific implementation methods for this information include, but are not limited to, random numbers (Nonce) generated by authentication nodes, timestamps, or one-time passwords (OTP).

[0068] Specifically, the vehicle node provides its unique Vehicle Identification Number (VIN) in its access request. The VIN serves as a globally unique identifier for the vehicle, providing the initial basis for network authentication. Upon receiving the authentication information, the requesting vehicle must invoke a preset password bound to its VIN. This password can be pre-stored in the vehicle's secure storage area. The authentication information is then processed using methods such as hashing the password (e.g., HMAC) to generate a response value, or using the password as a key for symmetric encryption. The vehicle returns the result as an authentication response to the authentication node. The authentication node compares the received response value with its calculated expected value to determine the legitimacy of the identity. This dual authentication using the preset VIN hardware carrier prevents signal eavesdropping and unauthorized node access, ensuring communication security.

[0069] In one implementation, vehicle A sends an access request containing its VIN code to vehicle B (acting as an authentication node). Vehicle B's central control unit retrieves the corresponding preset password seed based on the VIN code and immediately generates a random number as a challenge message, which is then sent to vehicle A. Vehicle A's onboard communication terminal performs a hash operation on this random number using its stored preset password and sends the resulting hash value back as a response. Upon receiving the response, vehicle B performs the same hash operation on the same random number using its locally stored preset password corresponding to vehicle A and compares the result with the received response. If they match, vehicle A is deemed a legitimate node and access is granted; otherwise, access is denied.

[0070] In some embodiments of the present invention, continuing voice communication includes: using asymmetric encryption for voice communication; and updating the vehicle's current encryption key after a single call ends.

[0071] Among them, the asymmetric encryption method can be the RSA algorithm, the elliptic curve cryptography ECC algorithm, such as using the NIST P-256 or secp256r1 curve.

[0072] Specifically, when the vehicle's onboard communication terminal is first started or reset, the central control unit can call the encrypted communication module to generate a unique asymmetric key pair. This key pair consists of a private key that is not publicly disclosed and a public key that can be distributed externally, and uses asymmetric encryption for voice communication. After a single call ends, the vehicle's current encryption key is updated to ensure the privacy and integrity of the communication.

[0073] In one specific embodiment, an in-vehicle adaptive communication system is provided, installed on a vehicle, comprising: an in-vehicle communication terminal for searching and accessing ad hoc networks and transmitting and receiving voice signals; an environment perception module for collecting environmental data of the vehicle in real time; and a control processing unit connected to the in-vehicle communication terminal and the environment perception module, configured to: perform identity authentication; dynamically determine the optimal communication channel and transmission power parameters based on the environmental data; control the in-vehicle communication terminal to perform corresponding channel switching, power configuration, and encrypted communication; and manage a buffering mechanism to maintain voice continuity during channel switching.

[0074] The vehicle-mounted communication terminal, as the core communication device, has a built-in dual-band (U-band and V-band) radio frequency module and a high-gain vehicle-mounted antenna, supporting 1-25W power adaptive adjustment. It can automatically scan surrounding vehicle nodes, build a peer-to-peer self-organizing network, realize the modulation, transmission, demodulation, and reception of voice signals, and also has node status monitoring functions to provide real-time feedback on the communication quality of access nodes.

[0075] Environmental perception module: Integrates GPS / BeiDou dual-mode positioning unit, speed sensor, electromagnetic interference detector, and millimeter-wave radar. The positioning unit acquires the vehicle's precise location (error ≤ 5m), the speed sensor collects the driving speed in real time; the electromagnetic interference detector scans the interference signal strength within the communication frequency band with a resolution of 0.1dB; the millimeter-wave radar detects the distribution of obstacles within a 50m radius, providing environmental data for channel quality prediction.

[0076] Dynamic Channel Adaptation Module: The core algorithm enables intelligent channel selection and switching based on environmental data. First, it scans all channels within the preset frequency band, recording parameters such as interference intensity and occupancy rate. Then, combining vehicle speed and position changes, it uses a machine learning model to predict channel quality within the next 5 seconds. Finally, it calculates an adaptation score based on the weights of "lowest interference, lowest occupancy rate, and most stable quality," selecting the optimal channel. When the current channel score falls below a set threshold (e.g., 60 points out of 100), a millisecond-level switching is triggered to ensure uninterrupted communication.

[0077] Encrypted communication module: Employing the RSA asymmetric encryption algorithm, each vehicle's communication terminal generates a unique public and private key upon initial startup. During a call, the sender encrypts the voice signal using the receiver's public key, and the receiver decrypts it using their local private key. The key is automatically updated after each call to prevent signal interception and cracking. Simultaneously, node access employs dual authentication using a VIN code and password to prevent unauthorized node intrusion.

[0078] Central Control Unit: Employs a high-performance microprocessor with a main frequency ≥1GHz, responsible for coordinating data interaction and operational timing among various modules. It uses the G.729 audio encoding standard for voice signals, achieving a compression ratio of 8:1 to reduce transmission bandwidth usage; it monitors communication status in real time, automatically issuing prompts and attempting reconnection when abnormalities such as node offline or signal interruption occur.

[0079] The specific workflow is as follows: Network Setup and Authentication: After the vehicle starts, the onboard communication terminal automatically begins scanning, searching for other vehicles within a 1-5km radius and sending an access request containing its own VIN code to the target node. Upon receiving the request, the target node verifies the VIN code and preset password through the central control unit. If the verification is successful, it joins the self-organizing network, forming a local communication cluster.

[0080] Environmental data acquisition: The environmental perception module collects vehicle position, speed, interference intensity and obstacle data once per second. After filtering, the data is transmitted to the central control unit with a data delay of ≤10ms.

[0081] Optimal channel determination: After receiving environmental data, the dynamic channel adaptation module performs channel scanning and scoring calculation, and sends the optimal channel parameters (frequency band, frequency, power) to the vehicle communication terminal. The terminal completes channel switching and parameter configuration within 100ms.

[0082] Encrypted voice communication: When a user presses the call button to initiate a request, the voice signal is encoded by the central control unit and then encrypted by the encryption communication module using the recipient's public key before being transmitted through the optimal channel. Upon receiving the signal, the receiving terminal sequentially decrypts and decodes the signal, outputting the voice through the car audio system or headphones, with a total latency of ≤300ms.

[0083] Dynamic channel switching: During voice communication, the dynamic channel adaptation module continuously monitors the channel status. When situations such as "interference intensity > -60dB", "occupancy rate > 80%", or "quality prediction value drops by more than 30%" occur, it immediately rescans and switches to a new optimal communication channel. During the switching process, caching technology is used to maintain voice continuity and avoid stuttering or interruption.

[0084] Communication End and Key Update: After the call ends, the encrypted communication module automatically generates a new key pair, while the central control unit records the channel parameters and quality data of this communication for use in optimizing subsequent channel prediction algorithms.

[0085] like Figure 3 The diagram shown is a structural block diagram of an in-vehicle adaptive communication system. Figure 4 The diagram shown is a schematic representation of the overall process of the vehicle-mounted adaptive communication method. Figure 5 The diagram shown is a logic diagram of the dynamic channel adaptation algorithm.

[0086] Compared with the prior art, the present invention has the following beneficial effects: Strong anti-interference capability: Through dynamic channel adaptation algorithm, it avoids interference and congested channels in real time. Combined with power adaptive adjustment, it improves call clarity by more than 60% in high-speed movement (≥120km / h) or complex environments (such as mountainous areas and urban high-rise areas).

[0087] Privacy and security are guaranteed: It adopts asymmetric encryption and dynamic key update mechanism, combined with VIN code dual authentication, to completely eliminate signal eavesdropping and illegal node access, and protect communication privacy.

[0088] Excellent cluster adaptability: It supports up to 100 nodes to access the self-organizing network at the same time, and the node switching efficiency is improved to the millisecond level, meeting the collaborative communication needs of large-scale fleets.

[0089] High call stability: By using environmental awareness and quality prediction, the risk of channel quality degradation is avoided in advance. Combined with buffer switching technology, the call interruption rate is reduced to below 0.5%.

[0090] First, through real-time environmental awareness-based channel and power dynamic adaptation, the system can proactively avoid interference, select the optimal propagation path, and precisely control signal strength, thereby improving call clarity by over 60% in high-speed movement or complex geographical environments, demonstrating excellent anti-interference capabilities. Second, by combining asymmetric encryption and dynamic key update mechanisms with vehicle-based hard-identity authentication, a dual security barrier is constructed, effectively preventing the risk of eavesdropping on communication content and unauthorized node access to the network, ensuring the privacy and integrity of communication. Third, efficient node authentication and rapid switching mechanisms support rapid networking and millisecond-level switching of large-scale vehicle nodes (e.g., up to 100), greatly improving the collaborative efficiency and scalability of cluster communication. Finally, through forward-looking channel quality prediction and cache-based smooth switching technology, the probability of communication interruption due to sudden environmental changes is significantly reduced, for example, to below 0.5%, thus ensuring high stability of the call process and consistent user experience.

[0091] To better implement the vehicle-mounted adaptive communication method in this embodiment of the invention, based on the vehicle-mounted adaptive communication method, correspondingly, as follows: Figure 6 As shown, this embodiment of the invention also provides a vehicle-mounted adaptive communication system, the vehicle-mounted adaptive communication system 600 including: Access unit 601 is used to search for the ad hoc network through the vehicle's on-board communication terminal after the vehicle is started, send an access request and accept identity authentication, and access the ad hoc network after passing the identity authentication. The adapter unit 602 is used to collect environmental data of the vehicle in real time during voice communication through the self-organizing network, and predict the optimal communication channel and transmission power parameters based on the environmental data. The monitoring unit 603 is used to perform voice communication using the optimal communication channel and the transmission power parameters, and to monitor the channel quality of the optimal communication channel during the voice communication process. The communication unit 604 is used to redetermine a new optimal communication channel and switch to the new optimal communication channel when the channel quality does not meet a preset quality threshold, and update the transmission power parameters to continue voice communication.

[0092] The vehicle-mounted adaptive communication system 600 provided in the above embodiments can implement the technical solutions described in the above vehicle-mounted adaptive communication method embodiments. The specific implementation principles of each module or unit can be found in the corresponding content in the above vehicle-mounted adaptive communication method embodiments, and will not be repeated here.

[0093] Accordingly, this application also provides a computer-readable storage medium for storing a computer-readable program or instruction. When the program or instruction is executed by a processor, it can implement the steps or functions of the vehicle adaptive communication method provided in the above-described method embodiments.

[0094] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0095] The above provides a detailed description of the vehicle-mounted adaptive communication method and system provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A vehicle-mounted adaptive communication method, characterized by, The method comprises: After the vehicle is started, searching for a self-organizing network through a vehicle-mounted communication terminal of the vehicle, sending an access request and accepting identity authentication, and accessing the self-organizing network after the identity authentication; In the process of voice communication through the self-organizing network, environmental data of the vehicle are collected in real time, and optimal communication channels and transmission power parameters are predicted based on the environmental data; Voice communication is carried out using the optimal communication channels and applying the transmission power parameters, and in the process of voice communication, the channel quality of the optimal communication channels is monitored; When the channel quality does not meet a preset quality threshold, a new optimal communication channel is determined again, the new optimal communication channel is switched to, and the transmission power parameters are updated to continue voice communication.

2. The method of claim 1, wherein, The voice communication using the optimal communication channels and applying the transmission power parameters comprises: The transmission power parameters are applied, the public key of the receiving party is used to encrypt the voice signal to be sent, and the encrypted voice signal is sent through the optimal communication channel, wherein the public key of the receiving party is obtained and verified from the receiving party in the identity authentication process of accessing the self-organizing network; The transmission power parameters are applied, and the private key of the vehicle is used to decrypt the encrypted voice signal received through the optimal communication channel.

3. The in-vehicle adaptive communication method of claim 1, wherein, Before switching to the new optimal communication channel, it further comprises: The voice data to be sent or received is stored in a cache area; The switching to the new optimal communication channel comprises: Voice data is read from the cache area for playing or sending.

4. The in-vehicle adaptive communication method of claim 1, wherein, The optimal communication channels and transmission power parameters are predicted based on the environmental data, comprising: The communication channels in a preset communication frequency band are scanned to obtain the interference intensity and occupancy rate of each communication channel; According to the vehicle speed and position information in the environmental data, the stability prediction value of each communication channel in a future preset period is predicted; The optimal communication channel is determined according to the interference intensity, occupancy rate and stability prediction value; Based on the vehicle-to-vehicle distance and obstacle information in the environmental data, the transmission power parameters suitable for the optimal communication channel are calculated.

5. The in-vehicle adaptive communication method of claim 4, wherein, According to the vehicle speed and position information in the environmental data, the channel quality of each communication channel in a future preset period is predicted, comprising: The vehicle speed and position information in the environmental data are input into a trained channel quality prediction model; The stability prediction value in a future preset time length output by the channel quality prediction model is obtained.

6. The in-vehicle adaptive communication method of claim 4, wherein, Based on the vehicle-to-vehicle distance and obstacle information in the environmental data, the transmission power parameters suitable for the optimal communication channel are calculated, comprising: According to the vehicle position information in the environmental data, the real-time distance of the voice communication opposite vehicle is calculated; According to the real-time distance, the optimal communication channel and the obstacle information, a preset power mapping table is queried to determine the transmission power parameters.

7. The in-vehicle adaptive communication method of claim 4, wherein, The optimal communication channel is determined according to the interference intensity, occupancy rate and stability prediction value, comprising: The interference intensity, the occupation rate and the stability prediction value are weighted and summed with respective preset weights to obtain a channel quality; The optimal communication channel is determined according to the channel quality.

8. The in-vehicle adaptive communication method of claim 1, wherein, The identity authentication step includes: A vehicle identification code is provided in the access request; Identity authentication information from the self-organizing network is received, and the identity authentication information is identity authenticated based on a preset password corresponding to the vehicle identification code.

9. The vehicle-mounted adaptive communication method according to any one of claims 1-8, characterized in that, The voice communication is continued, including: An asymmetric encryption method is used for voice communication; After a single call ends, the current encryption key of the vehicle is updated.

10. A vehicle-mounted adaptive communication system, characterized by, The system includes: An access unit is configured to search for a self-organizing network through a vehicle-mounted communication terminal of the vehicle after the vehicle is started, send an access request and accept identity authentication, and access the self-organizing network after identity authentication; An adaptation unit is configured to collect environmental data of the vehicle in real time during voice communication through the self-organizing network, and predict an optimal communication channel and a transmission power parameter based on the environmental data; A monitoring unit is configured to use the optimal communication channel and apply the transmission power parameter for voice communication, and monitor a channel quality of the optimal communication channel during voice communication; A communication unit is configured to determine a new optimal communication channel when the channel quality does not meet a preset quality threshold, switch to the new optimal communication channel, and update the transmission power parameter to continue voice communication.

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