Method and system for multi-lane parallel transmission optimization towards silicon photonic engines

Abstract

The application relates to the technical field of signal transmission, and provides a multi-channel parallel transmission optimization method and system for a silicon optical engine. The method comprises the following steps: collecting multi-channel transmission characteristics of the silicon optical engine, optimizing transmission signals based on the characteristics to obtain initial transmission signals; calling a predetermined coding and decoding mechanism, and performing coding and decoding processing on the initial transmission signals based on the mechanism to obtain first transmission signals; calling a predetermined encryption and decryption mechanism, and performing encryption and decryption processing on the initial transmission signals based on the mechanism to obtain second transmission signals; taking the second transmission signals as target transmission signals, and performing parallel transmission on the target transmission signals. The application solves the technical problems of low transmission efficiency and unstable signal quality caused by the mismatch of signal transmission characteristics in the multi-channel parallel transmission process of the silicon optical engine, achieves the technical effects of improving the efficiency of multi-channel parallel transmission, and improving the stability and transmission quality of signals through the optimization processing of transmission characteristic compensation and decoding and decryption mechanisms.

Description

Technical Field

[0001] This application relates to the field of signal transmission technology, specifically to a multi-channel parallel transmission optimization method and system for silicon photonics engines. Background Technology

[0002] With the development of information technology, silicon photonics engines are playing an increasingly important role in high-speed data transmission, data centers, and optical communications. Utilizing silicon-based materials for optical signal processing and transmission, silicon photonics engines offer higher bandwidth, lower latency, and lower energy consumption compared to traditional electronic processing methods, making them a key component of future data transmission technologies. Silicon photonics engines employ multi-channel parallel transmission technology, enabling large-scale parallel data transmission and thus improving data transmission efficiency and stability. However, existing silicon photonics engines face several technical challenges in multi-channel parallel transmission. First, differences in transmission characteristics between channels can lead to signal attenuation and distortion, affecting overall transmission quality. Second, potential efficiency losses exist during encoding / decoding and encryption / decryption processes, making it impossible to dynamically adjust processing strategies based on different transmission signals, resulting in unoptimized performance of the transmission signal under various conditions. Furthermore, crosstalk between parallel channels can affect the stability of multi-channel signals, increasing the error rate of data transmission. Therefore, optimizing signal transmission, improving encoding / decoding and encryption / decryption efficiency, and reducing crosstalk and signal attenuation in multi-channel parallel transmission are pressing issues that silicon photonics engine technology needs to address. Summary of the Invention

[0003] This application provides a method and system for optimizing multi-channel parallel transmission in silicon photonics engines, aiming to solve the technical problems of low transmission efficiency and unstable signal quality caused by signal transmission characteristic mismatch during multi-channel parallel transmission in silicon photonics engines.

[0004] The first aspect disclosed in this application provides a multi-channel parallel transmission optimization method for silicon photonics engines. The method includes: collecting multi-channel transmission characteristics of the silicon photonics engine and optimizing the transmission signal of the silicon photonics engine based on the multi-channel transmission characteristics to obtain an initial transmission signal; invoking a predetermined encoding / decoding mechanism and encoding / decoding the initial transmission signal according to the predetermined encoding / decoding mechanism to obtain a first transmission signal; invoking a predetermined encryption / decryption mechanism and encrypting / decrypting the initial transmission signal according to the predetermined encryption / decryption mechanism to obtain a second transmission signal; using the second transmission signal as the target transmission signal of the silicon photonics engine and performing parallel transmission of the target transmission signal.

[0005] Another aspect of this application discloses a multi-channel parallel transmission optimization system for silicon photonics engines. The system includes: a signal optimization module that collects the multi-channel transmission characteristics of the silicon photonics engine and optimizes the transmission signal of the silicon photonics engine based on the multi-channel transmission characteristics to obtain an initial transmission signal; an encoding / decoding processing module that retrieves a predetermined encoding / decoding mechanism and performs encoding / decoding processing on the initial transmission signal according to the predetermined encoding / decoding mechanism to obtain a first transmission signal; an encryption / decryption processing module that retrieves a predetermined encryption / decryption mechanism and performs encryption / decryption processing on the initial transmission signal according to the predetermined encryption / decryption mechanism to obtain a second transmission signal; and a parallel transmission module that uses the second transmission signal as the target transmission signal of the silicon photonics engine and performs parallel transmission on the target transmission signal.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The aforementioned optimization method for multi-channel parallel transmission of silicon photonics engines first collects the multi-channel transmission characteristics of the silicon photonics engine and optimizes the transmission signal based on these characteristics to generate an initial transmission signal. Then, a predetermined encoding and decoding mechanism is used to encode and decode the initial signal to obtain a first transmission signal. After that, a predetermined encryption and decryption mechanism is used to encrypt and decrypt the initial signal to generate a second transmission signal. Finally, the second transmission signal is used as the target signal and transmitted in parallel to improve the efficiency and signal quality of multi-channel transmission.

[0008] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a flowchart illustrating a multi-channel parallel transmission optimization method for silicon photonics engines in one embodiment.

[0011] Figure 2 This is a diagram of a multi-channel parallel transmission optimization system architecture for a silicon photonics engine in one embodiment.

[0012] Explanation of reference numerals in the attached diagram: Signal optimization module 11, encoding / decoding processing module 12, encryption / decryption processing module 13, parallel transmission module 14. Detailed Implementation

[0013] This application provides a method and system for optimizing multi-channel parallel transmission in silicon photonics engines, thereby solving the technical problems of low transmission efficiency and unstable signal quality caused by mismatched signal transmission characteristics during multi-channel parallel transmission in silicon photonics engines.

[0014] The technical solutions of the embodiments of this application 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 this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0015] It should be noted that the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such process, method, product, or device.

[0016] Example 1, as Figure 1 As shown, this application provides a multi-channel parallel transmission optimization method for silicon photonics engines, the method comprising:

[0017] The multi-channel transmission characteristics of the silicon photonics engine are collected, and the transmission signal of the silicon photonics engine is optimized based on the multi-channel transmission characteristics to obtain the initial transmission signal.

[0018] In this embodiment, the multi-channel transmission characteristics of the silicon photonics engine are first collected. This process mainly involves performance analysis and testing of each transmission channel of the silicon photonics engine to obtain the transmission characteristic parameters of each channel. These parameters include, but are not limited to, insertion loss, crosstalk level, and modulation error rate. To ensure the accuracy and comprehensiveness of the data, high-precision measurement tools, such as vector network analyzers and time-domain reflectometers, are typically used to conduct detailed tests on the response of each transmission channel. After obtaining the characteristics of each transmission channel, these characteristics are comprehensively analyzed to assess the interference or loss that may occur during parallel transmission. In this process, for insertion loss, channels with higher losses can be identified based on the collected insertion loss parameters. For these channels, the insertion loss is compensated by adjusting the signal gain and amplitude. Specifically, when the insertion loss is high, the signal strength is increased by using a signal amplifier or digital pre-emphasis technology to ensure that the signal maintains sufficient energy during transmission. In addition, the signal amplitude can be dynamically adjusted according to the insertion loss values ​​of different channels to ensure that the signal can overcome attenuation, reduce loss, and improve transmission efficiency when transmitted in the optical waveguide. Regarding crosstalk, the interference level of adjacent channels is assessed based on crosstalk level data (including crosstalk amplitude, phase, and frequency). For channels with strong crosstalk, their operating frequencies can be adjusted to avoid frequency overlap or close-range interference between channels, thereby reducing the crosstalk effect. Furthermore, frequency reuse techniques (such as WDM) can be introduced to allocate different signals to different frequency bands, further reducing interference between channels. In this process, real-time monitoring and optimization of crosstalk levels can effectively improve signal stability and reduce data transmission errors. Regarding modulation error, the acquired modulation error rate reflects signal quality. By monitoring the error rate data of each channel, the degree of distortion in signal transmission can be assessed. To improve the modulation error rate, the signal coding scheme (such as LDPC or Turbo) can be adjusted to enhance the signal's anti-interference capability, ensuring higher accuracy during transmission. Additionally, enhanced noise suppression methods, such as signal gain adjustment, can further reduce the impact of external noise on the signal, thereby improving modulation quality and ensuring stable signal transmission. Through the above optimizations, the goal of maximizing signal transmission efficiency in the silicon photonics engine and minimizing signal attenuation, crosstalk, and loss can be achieved, thereby reducing signal loss and interference during transmission. These optimization measures generate an initial transmission signal, laying the foundation for subsequent encoding / decoding and encryption / decryption processing.

[0019] Furthermore, this application also includes: optimizing the optical waveguide structure of the silicon photonic engine using a predetermined optimization strategy, wherein the predetermined optimization strategy refers to using a predetermined waveguide material to fabricate the optical waveguide structure, and the optical waveguide structure has a predetermined waveguide bending radius, a predetermined waveguide thickness, and the high refractive index difference of the predetermined waveguide material reaches a predetermined limit.

[0020] Preferably, in a silicon photonics engine, to improve the transmission performance of the optical waveguide structure, a predetermined optimization strategy is first employed to design and adjust the waveguide structure. Specifically, this optimization strategy first requires the use of a specific waveguide material to fabricate the waveguide structure. The selection of this material is based on its superior optical properties, particularly its high refractive index difference, which needs to reach a predetermined limit. This helps to better guide the optical signal and reduce signal leakage during transmission. Furthermore, the design of the optical waveguide structure must ensure appropriate geometric parameters to guarantee optimal performance. The bending radius of the optical waveguide needs to reach a predetermined bending radius to avoid signal scattering or loss due to an excessively small bending radius. The waveguide thickness is also a critical factor; it must conform to a predetermined thickness to prevent excessive interference or attenuation of the optical signal transmission. By adjusting the waveguide thickness, it is ensured that it can effectively support the required bandwidth and reduce signal distortion. By combining these optimization strategies, the optical waveguide structure can efficiently transmit signals in the silicon photonics engine, reduce optical loss, improve transmission rate and quality, and thus further enhance overall performance.

[0021] Furthermore, this application provides the multi-channel transmission characteristics of the collected silicon photonics engine, including:

[0022] The process involves: acquiring a first transmission channel of the silicon photonics engine; acquiring predetermined transmission characteristic indicators and performing detection and analysis on the first transmission channel based on the predetermined transmission characteristic indicators to obtain a first transmission characteristic; and constructing the multi-channel transmission characteristic based on the first transmission characteristic. The predetermined transmission characteristic indicators include insertion loss, crosstalk level, and modulation error rate.

[0023] Optionally, firstly, the first transmission channel of the silicon photonics engine is determined by identifying and locating the unique identifiers of each channel. Then, predetermined transmission characteristic indicators are obtained, including insertion loss, crosstalk level, and modulation error rate. Insertion loss refers to signal loss caused by factors such as fiber splices, bending, and attenuation when the optical signal passes through the optical waveguide. Crosstalk level refers to the degree of interference between different transmission channels, which usually occurs when there is leakage and coupling between signals in adjacent channels, affecting signal quality. Modulation error rate is an important indicator for measuring the accuracy and stability of the modulation process during signal transmission. Next, based on these predetermined transmission characteristic indicators, the first transmission channel is subjected to detailed testing and analysis. The testing process includes acquiring various signal characteristic data related to the transmission channel, such as transmission loss, crosstalk, and modulation error, using equipment such as optical power meters, network analyzers, and spectrum analyzers. Analysis of this data yields the specific transmission characteristics of the first transmission channel, which are then used as the first transmission characteristics. Then, the transmission characteristics of other transmission channels are obtained in the same way, and these transmission characteristics are stored together with the first transmission characteristics to construct the multi-channel transmission characteristics of the entire silicon photonics engine. This process aims to help determine how to optimize signal quality and efficiency in multi-channel parallel transmission by systematically analyzing the performance of each channel.

[0024] Furthermore, this application provides a method for obtaining predetermined transmission characteristic indicators and, based on these indicators, detecting and analyzing the first transmission channel to obtain a first transmission characteristic, including:

[0025] A second transmission channel of the silicon photonics engine is obtained, and the second transmission channel and the first transmission channel are adjacent parallel channels; a first crosstalk characteristic between the first transmission channel and the second transmission channel is measured using a vector network analyzer, and the first crosstalk characteristic includes crosstalk amplitude and crosstalk phase; a second crosstalk characteristic between the first transmission channel and the second transmission channel is tested under predetermined conditions, wherein the second crosstalk characteristic includes crosstalk frequency and wavelength characteristics; the crosstalk amplitude, crosstalk phase, crosstalk frequency and wavelength characteristics are analyzed to obtain the crosstalk level coefficient of the first transmission channel; the crosstalk level coefficient is added to the first transmission characteristic.

[0026] Optionally, during the detection and analysis of the transmission channels, the second transmission channel adjacent to and parallel to the first transmission channel in the silicon photonics engine is first acquired. Then, a vector network analyzer is used to measure the crosstalk characteristics between the first and second transmission channels. The vector network analyzer is a high-precision measurement tool that can accurately capture the amplitude and phase changes of the transmitted signal, thereby analyzing the crosstalk between channels and obtaining the first crosstalk characteristic. This first crosstalk characteristic includes crosstalk amplitude and crosstalk phase. Crosstalk amplitude represents the intensity of interference to the signal during transmission, while crosstalk phase describes the relative timing difference of the interfering signal. After obtaining the first crosstalk characteristic, the second crosstalk characteristic between the first and second transmission channels needs to be tested under predetermined conditions. The purpose of this process is to further accurately capture the crosstalk characteristics and obtain the crosstalk frequency and wavelength characteristics. The crosstalk frequency reflects the frequency range of signal interference, while the wavelength characteristics involve the signal propagation characteristics, affecting the signal coherence and stability. Subsequently, these crosstalk characteristics (including crosstalk amplitude, crosstalk phase, crosstalk frequency, and wavelength characteristics) are analyzed. A crosstalk level coefficient for the first transmission channel is calculated using normalized weighting (first processing with max-min normalization, then performing weighted summation). This crosstalk level coefficient is a comprehensive index used to measure the crosstalk immunity of the first transmission channel in multi-channel transmission. This coefficient allows for the assessment of the degree of interference the signal may experience during transmission. Finally, the calculated crosstalk level coefficient is added to the first transmission characteristic, thus making the transmission characteristics of the first transmission channel more accurately reflect the crosstalk effect, providing an important basis for subsequent optimization and signal transmission.

[0027] A predetermined encoding / decoding mechanism is invoked, and the initial transmission signal is encoded / decoded according to the predetermined encoding / decoding mechanism to obtain a first transmission signal.

[0028] In one embodiment, a predetermined encoding / decoding mechanism is first invoked. This mechanism is a technique for processing signals and includes two stages: encoding and decoding. The encoding process converts the original signal into a format suitable for transmission, while the decoding process restores the received signal to its original information. Specifically, the initial transmission signal is encoded according to the encoding scheme in the predetermined encoding / decoding mechanism. Taking convolutional encoding as an example, assuming a 3-state convolutional encoder is used and a coding rate of 1 / 2 is selected, this means that for every 1 data bit input, the encoder will output 2 bits. At the start of the encoding process, the initial transmission signal is fed bit by bit into the convolutional encoder. Each time a bit is input, the encoder processes it according to its state and outputs two bits. For example, for input bit 1, the convolutional encoder may output bit pair 10; for input bit 0, it may output bit pair 01. In this way, the encoder not only transmits the original data bits but also generates redundant bits to help the receiving end correct errors that occur during signal transmission. After encoding, the bit sequence of the transmitted signal becomes lengthy. For example, the initial signal 110101101 might become 100111100011 after encoding. This lengthy encoded signal not only contains the original data but also carries redundant information, so even if interference occurs during signal transmission, the receiving end can still recover the original data through the decoding process. Subsequently, at the receiving end, the signal undergoes decoding processing using a predetermined decoding scheme to restore it to useful information or data. Taking convolutional coding as an example again, the Viterbi algorithm in the predetermined decoding scheme is activated. The Viterbi algorithm is a maximum likelihood sequence estimation method used to recover the most likely original data sequence from the received signal. The Viterbi algorithm calculates all possible state transition paths, selects the path that best matches the received signal, and returns the corresponding decoded output. This algorithm analyzes the received signal bit by bit, calculates each possible path based on preset encoding rules, selects the path with the smallest error, and finally recovers the data that is closest to the original signal. In this process, the Viterbi algorithm not only considers each transmitted bit but also performs optimal estimation of the signal based on known encoding rules. After Viterbi decoding, the original bit sequence 110101101 can be recovered, consistent with the initial transmitted signal. Even if the signal is subject to some interference during transmission, the redundant encoded information allows the receiver to effectively correct errors and recover the original data, ensuring the reliability and accuracy of the signal. Finally, the signal after encoding and decoding becomes the first transmitted signal, which will have better transmission characteristics, such as higher anti-interference and lower bit error rate, ready for further processing or transmission.

[0029] Furthermore, this application provides that the predetermined encoding and decoding mechanism includes a predetermined encoding scheme and a predetermined decoding scheme, wherein the predetermined encoding scheme is used to encode the transmitted signal at the transmitting end, and the predetermined decoding scheme is used to decode the transmitted signal at the receiving end.

[0030] Preferably, the predetermined encoding / decoding mechanism includes a predetermined encoding scheme and a predetermined decoding scheme. The predetermined encoding scheme is primarily used to encode the transmitted signal at the transmitting end. The goal of this process is to convert the original data into a format suitable for transmission, typically including signal compression or adding redundant information through some encoding method (such as convolutional coding, Turbo coding, etc.). Redundancy helps improve the transmission signal's resistance to interference or noise and ensures that the signal can be correctly decoded at the receiving end. The predetermined decoding scheme is used to decode the encoded transmitted signal at the receiving end. At the receiving end, the received signal is usually subject to various interferences. The decoding scheme recovers the original signal by applying the same or compatible decoding algorithm as the transmitting end (such as the Viterbi algorithm, maximum likelihood decoding, etc.). During the decoding process, errors in the signal are identified and corrected to ensure that the received data is consistent with the original data.

[0031] A predetermined encryption / decryption mechanism is invoked, and the initial transmission signal is encrypted / decrypted according to the predetermined encryption / decryption mechanism to obtain a second transmission signal.

[0032] In one embodiment, a predetermined encryption / decryption mechanism is first invoked. This mechanism ensures signal security during transmission and includes predetermined encryption and decryption schemes. The encryption mechanism is primarily applied at the sending end, encrypting the initial transmitted signal and converting it into an encrypted format to prevent interception or tampering by unauthorized third parties during transmission. Specifically, the initial transmitted signal is encrypted according to the encryption scheme in the predetermined encryption / decryption mechanism. Taking AES encryption as an example, AES is a symmetric encryption algorithm, meaning the same key is used for both encryption and decryption. During encryption, a key (typically 128, 192, or 256 bits long) and an initialization vector (IV) need to be set. These two elements are crucial for both encryption and decryption, ensuring signal security and randomness. The initial transmitted signal is then converted into a binary data stream. If the original data is character data, it needs to be encoded first. Subsequently, the AES encryption algorithm is used to combine the binary signal with the predetermined key and IV for encryption. After encryption, the original signal becomes unreadable encrypted data. For example, 110101101 might become "XJ!#34df34...". This encrypted signal, the second transmission signal, is transmitted over the network as protected data, ensuring that the signal is not accessed or tampered with by unauthorized third parties during transmission. Then, at the receiving end, a predetermined decryption scheme decrypts the received encrypted signal, restoring it to the original transmission signal. Using AES encryption as an example again, after receiving the AES-encrypted signal (i.e., the second transmission signal), the receiving end uses the same key and initialization vector (IV) as the sending end for AES decryption. That is, the encrypted signal, along with the key and IV, is input into the AES decryption algorithm. During decryption, the AES algorithm reverses the encryption process to recover the original binary data stream. In this process, the receiving end uses the key and IV from the decryption process to reverse the encryption process, removing redundant encrypted information and thus recovering the original signal. For example, after AES decryption, the received encrypted data "XJ!#34df34..." will be restored to the original binary data 110101101, which is consistent with the signal originally transmitted by the sender. Through this decryption process, the receiver can accurately restore the original data, ensuring that the data has not been tampered with during transmission and maintaining the integrity and confidentiality of the data.

[0033] Furthermore, this application provides that the predetermined encryption / decryption mechanism includes a predetermined encryption scheme and a predetermined decryption scheme, wherein the predetermined encryption scheme is used to encrypt the transmitted signal at the sending end, and the predetermined decryption scheme is used to decrypt the transmitted signal at the receiving end.

[0034] Optionally, the pre-defined encryption / decryption mechanism includes a pre-defined encryption scheme and a pre-defined decryption scheme. The pre-defined encryption scheme is used at the sending end to encrypt the transmitted signal. During encryption, the original data is converted into an encrypted format, ensuring the security and confidentiality of the signal during transmission. The encryption scheme typically uses specific encryption algorithms (such as AES, RSA, etc.) and keys to prevent the signal from being intercepted or tampered with by unauthorized third parties during transmission. The pre-defined decryption scheme is applied at the receiving end to decrypt the received encrypted signal. The purpose of decryption is to restore the encrypted signal to the original transmitted data, ensuring that the receiving end can correctly obtain and use the signal content. The decryption process typically uses the same key and decryption algorithm as the encryption process, ensuring that only an authorized receiver can recover the original data.

[0035] The second transmission signal is used as the target transmission signal of the silicon photonics engine, and the target transmission signal is transmitted in parallel.

[0036] In one embodiment, using the second transmission signal as the target transmission signal for the silicon photonics engine means that at the transmitting end, the signal processed by encryption and encoding (i.e., the second transmission signal) will serve as the final transmission signal, ready for transmission through the silicon photonics engine. This target transmission signal already contains all the necessary processing information, such as encryption protection and redundant data, ensuring signal security and stability. Subsequently, the target transmission signal is transmitted in parallel, that is, it is distributed across multiple transmission channels for simultaneous transmission to improve transmission efficiency and bandwidth utilization. In silicon photonics engines, multi-channel parallel transmission is typically achieved through different optical waveguides or other transmission media. Parallel transmission effectively accelerates the data transmission process, reduces latency, and improves overall throughput and reliability.

[0037] Furthermore, this application provides a method for using the second transmission signal as the target transmission signal of the silicon photonics engine and for parallel transmission of the target transmission signal, further comprising:

[0038] The target transmission signal is dynamically monitored to obtain real-time transmission information; the real-time signal quality is extracted from the real-time transmission information, and the real-time signal quality is subjected to normalized weighted analysis to obtain a signal quality index; if the signal quality index does not reach a predetermined quality limit, a first warning signal is issued; based on the first warning signal, the silicon photonics engine is given a transmission anomaly warning.

[0039] Preferably, during signal transmission, the target transmission signal is dynamically monitored, continuously tracking its status and performance, and acquiring real-time information related to the transmission process. This real-time transmission information includes parameters such as signal strength, latency, and transmission rate, used to assess the signal's health and transmission quality. Subsequently, real-time signal quality indicators are extracted from this information. These indicators may include bit error rate and signal-to-noise ratio, used to quantify signal quality. Then, a normalized weighted analysis is performed on the signal quality; that is, the various signal quality indicators are weighted according to preset standards to obtain a comprehensive signal quality index. This index represents the overall signal quality under the current transmission environment; a higher index indicates better signal quality. If the obtained signal quality index does not reach the predetermined quality limit, the system will issue a first warning signal, indicating a signal quality problem that may affect transmission stability or reliability. Based on this first warning signal, the silicon photonics engine will activate a transmission anomaly warning mechanism for further diagnosis and processing, including adjusting transmission parameters and optimizing signal paths, to ensure signal quality is restored during transmission and prevent potential problems from affecting the system.

[0040] Furthermore, this application provides a transmission anomaly warning for the silicon photonics engine based on the first warning signal, including:

[0041] Based on the first warning signal, the multi-channel transmission characteristics are analyzed, and real-time pre-emphasis parameters are determined. The real-time pre-emphasis parameters include real-time digital pre-emphasis and real-time analog pre-emphasis. The silicon photonics engine is dynamically optimized for transmission through the real-time digital pre-emphasis and the real-time analog pre-emphasis. The real-time digital pre-emphasis compensates for signal attenuation and distortion during transmission by adjusting the amplitude and phase of the signal, and the real-time analog pre-emphasis adjusts the amplitude of the signal through hardware circuitry.

[0042] Optionally, upon receiving the first warning signal, a detailed analysis of the multi-channel transmission characteristics will be performed to identify potential problems in signal transmission. First, the insertion loss of each channel is checked, i.e., the signal attenuation during transmission due to fiber optic connections, waveguides, or other factors. Higher insertion loss indicates a significant decrease in signal strength during transmission, requiring special attention. Next, crosstalk between channels is analyzed to assess interference between different transmission channels. Excessive crosstalk may cause adjacent channel signals to interfere with each other, affecting overall signal quality; this must be identified and addressed promptly. Furthermore, the signal-to-noise ratio (SNR) and bit error rate (BER) of each channel are evaluated. A low SNR indicates that the signal is significantly affected by noise, while a high BER means that there are many errors in the signal during transmission, possibly due to signal attenuation, interference, or distortion. Through the analysis of these indicators, it can be determined which channels have poor signal quality and require optimization. After completing these analyses, based on the transmission characteristics of each channel, the regions requiring optimization are identified, and suitable real-time pre-emphasis parameters are determined. For channels with significant signal attenuation or severe distortion, the transmission characteristic parameters of the channel are analyzed using a neural network (constructed through forward propagation, loss calculation, backpropagation, parameter optimization, etc.) to calculate the required real-time pre-emphasis parameters, including real-time digital pre-emphasis and real-time analog pre-emphasis. Both compensate and optimize the signal from different technical perspectives. Real-time digital pre-emphasis compensates for signal attenuation and distortion during transmission by dynamically adjusting the amplitude and phase of the signal. Specifically, real-time digital pre-emphasis processes the signal, adjusting its amplitude (intensity) and phase (timing), thereby correcting any attenuation or phase distortion that may occur during transmission and ensuring that the signal can be correctly recovered at the receiving end. On the other hand, real-time analog pre-emphasis adjusts the signal amplitude through hardware circuitry. Unlike digital pre-emphasis, real-time analog pre-emphasis directly adjusts the signal amplitude via hardware circuitry, compensating for physical attenuation during transmission. In this way, real-time analog pre-emphasis can compensate for signal strength in real time, ensuring signal quality during transmission. The combination of these two pre-emphasis methods enables the silicon photonics engine to dynamically optimize the signal during transmission, promptly adjusting and improving the quality of the transmitted signal for different transmission environments and signal problems, thereby enhancing the reliability and stability of multi-channel transmission.

[0043] Furthermore, this application provides a method for dynamically monitoring the transmission of the target signal and obtaining real-time transmission information, including:

[0044] Extract the real-time engine temperature from the real-time transmitted information; if the real-time engine temperature reaches a predetermined temperature limit, issue a second warning signal; based on the second warning signal, issue an operational anomaly warning for the silicon photonics engine.

[0045] Optionally, firstly, the key parameter of real-time engine temperature is extracted from the real-time transmitted information. This temperature data reflects the current operating status of the silicon photonics engine, especially during long-term operation or high-load work, where temperature changes can affect performance and stability. Then, the extracted real-time engine temperature is compared with a preset temperature limit. If the real-time engine temperature reaches or exceeds the preset limit, a second warning signal is issued, indicating that the abnormal temperature may lead to equipment instability or damage. The triggering of the second warning signal is to remind operators to take timely measures to avoid malfunctions caused by overheating. Finally, based on the triggered second warning signal, an abnormal operation warning for the silicon photonics engine will be initiated. This step may include automatically adjusting the engine's operating status, reducing the load, or activating the cooling system to ensure the silicon photonics engine operates within a safe temperature range, preventing potential risks and malfunctions caused by overheating.

[0046] In summary, the embodiments of this application have at least the following technical effects:

[0047] This embodiment first collects the multi-channel transmission characteristics of the silicon photonics engine and optimizes the transmission signal of the silicon photonics engine based on these characteristics to obtain an initial transmission signal. Then, a predetermined encoding / decoding mechanism is invoked, and the initial transmission signal is encoded / decoded according to the predetermined mechanism to obtain a first transmission signal. Next, a predetermined encryption / decryption mechanism is invoked, and the initial transmission signal is encrypted / decrypted according to the predetermined mechanism to obtain a second transmission signal. The second transmission signal is then used as the target transmission signal of the silicon photonics engine, and the target transmission signal is transmitted in parallel. These technical effects collectively solve the technical problems of low transmission efficiency and unstable signal quality caused by signal transmission characteristic mismatch during multi-channel parallel transmission of the silicon photonics engine. They achieve the technical effect of improving the efficiency of multi-channel parallel transmission and enhancing signal stability and transmission quality through transmission characteristic compensation and optimized decoding / decryption mechanisms.

[0048] Example 2, based on the same inventive concept as the multi-channel parallel transmission optimization method for silicon photonics engines in the foregoing examples, such as... Figure 2As shown, this application provides a multi-channel parallel transmission optimization system for silicon photonics engines. The system includes: a signal optimization module 11: collecting the multi-channel transmission characteristics of the silicon photonics engine and optimizing the transmission signal of the silicon photonics engine based on the multi-channel transmission characteristics to obtain an initial transmission signal; an encoding / decoding processing module 12: retrieving a predetermined encoding / decoding mechanism and performing encoding / decoding processing on the initial transmission signal according to the predetermined encoding / decoding mechanism to obtain a first transmission signal; an encryption / decryption processing module 13: retrieving a predetermined encryption / decryption mechanism and performing encryption / decryption processing on the initial transmission signal according to the predetermined encryption / decryption mechanism to obtain a second transmission signal; and a parallel transmission module 14: using the second transmission signal as the target transmission signal of the silicon photonics engine and performing parallel transmission on the target transmission signal.

[0049] Furthermore, the signal optimization module 11 is also used to perform the following method:

[0050] The optical waveguide structure of the silicon photonics engine is optimized using a predetermined optimization strategy. The predetermined optimization strategy refers to using a predetermined waveguide material to fabricate the optical waveguide structure, and the optical waveguide structure has a predetermined waveguide bending radius and a predetermined waveguide thickness, and the high refractive index difference of the predetermined waveguide material reaches a predetermined limit.

[0051] Furthermore, the signal optimization module 11 is also used to perform the following method:

[0052] The process involves: acquiring a first transmission channel of the silicon photonics engine; acquiring predetermined transmission characteristic indicators and performing detection and analysis on the first transmission channel based on the predetermined transmission characteristic indicators to obtain a first transmission characteristic; and constructing the multi-channel transmission characteristic based on the first transmission characteristic. The predetermined transmission characteristic indicators include insertion loss, crosstalk level, and modulation error rate.

[0053] Furthermore, the signal optimization module 11 is also used to perform the following method:

[0054] A second transmission channel of the silicon photonics engine is obtained, and the second transmission channel and the first transmission channel are adjacent parallel channels; a first crosstalk characteristic between the first transmission channel and the second transmission channel is measured using a vector network analyzer, and the first crosstalk characteristic includes crosstalk amplitude and crosstalk phase; a second crosstalk characteristic between the first transmission channel and the second transmission channel is tested under predetermined conditions, wherein the second crosstalk characteristic includes crosstalk frequency and wavelength characteristics; the crosstalk amplitude, crosstalk phase, crosstalk frequency and wavelength characteristics are analyzed to obtain the crosstalk level coefficient of the first transmission channel; the crosstalk level coefficient is added to the first transmission characteristic.

[0055] Furthermore, the encoding / decoding processing module 12 is also configured to perform the following methods:

[0056] The predetermined encoding and decoding mechanism includes a predetermined encoding scheme and a predetermined decoding scheme. The predetermined encoding scheme is used to encode the transmitted signal at the transmitting end, and the predetermined decoding scheme is used to decode the transmitted signal at the receiving end.

[0057] Furthermore, the encryption / decryption processing module 13 is also used to perform the following methods:

[0058] The predetermined encryption / decryption mechanism includes a predetermined encryption scheme and a predetermined decryption scheme. The predetermined encryption scheme is used to encrypt the transmitted signal at the sending end, and the predetermined decryption scheme is used to decrypt the transmitted signal at the receiving end.

[0059] Furthermore, the parallel transmission module 14 is also used to perform the following method:

[0060] The target transmission signal is dynamically monitored to obtain real-time transmission information; the real-time signal quality is extracted from the real-time transmission information, and the real-time signal quality is subjected to normalized weighted analysis to obtain a signal quality index; if the signal quality index does not reach a predetermined quality limit, a first warning signal is issued; based on the first warning signal, the silicon photonics engine is given a transmission anomaly warning.

[0061] Furthermore, the parallel transmission module 14 is also used to perform the following method:

[0062] Based on the first warning signal, the multi-channel transmission characteristics are analyzed, and real-time pre-emphasis parameters are determined. The real-time pre-emphasis parameters include real-time digital pre-emphasis and real-time analog pre-emphasis. The silicon photonics engine is dynamically optimized for transmission through the real-time digital pre-emphasis and the real-time analog pre-emphasis. The real-time digital pre-emphasis compensates for signal attenuation and distortion during transmission by adjusting the amplitude and phase of the signal, and the real-time analog pre-emphasis adjusts the amplitude of the signal through hardware circuitry.

[0063] Furthermore, the parallel transmission module 14 is also used to perform the following method:

[0064] Extract the real-time engine temperature from the real-time transmitted information; if the real-time engine temperature reaches a predetermined temperature limit, issue a second warning signal; based on the second warning signal, issue an operational anomaly warning for the silicon photonics engine.

[0065] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0066] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0067] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A multi-channel parallel transmission optimization method for silicon photonics engines, characterized in that, include: The multi-channel transmission characteristics of the silicon photonics engine are collected, and the transmission signal of the silicon photonics engine is optimized based on the multi-channel transmission characteristics to obtain the initial transmission signal; A predetermined encoding / decoding mechanism is invoked, and the initial transmission signal is encoded / decoded according to the predetermined encoding / decoding mechanism to obtain a first transmission signal; A predetermined encryption / decryption mechanism is invoked, and the initial transmission signal is encrypted / decrypted according to the predetermined encryption / decryption mechanism to obtain a second transmission signal; The second transmission signal is used as the target transmission signal of the silicon photonics engine, and the target transmission signal is transmitted in parallel. Among them, the multi-channel transmission characteristics of the silicon photonics engine were collected, including: Obtain the first transmission channel of the silicon photonics engine; Obtain a predetermined transmission characteristic index, and perform detection and analysis on the first transmission channel based on the predetermined transmission characteristic index to obtain the first transmission characteristic. The multi-channel transmission feature is constructed based on the first transmission feature; The predetermined transmission characteristic indicators include insertion loss, crosstalk level, and modulation error rate; The process includes obtaining predetermined transmission characteristic indicators and performing detection and analysis on the first transmission channel based on the predetermined transmission characteristic indicators to obtain first transmission characteristics, including: Obtain the second transmission channel of the silicon photonics engine, and the second transmission channel and the first transmission channel are adjacent parallel channels; A first crosstalk characteristic between the first transmission channel and the second transmission channel is obtained by measuring with a vector network analyzer, and the first crosstalk characteristic includes crosstalk amplitude and crosstalk phase; A second crosstalk characteristic between the first transmission channel and the second transmission channel is obtained under predetermined conditions, wherein the second crosstalk characteristic includes crosstalk frequency and wavelength characteristics; By analyzing the crosstalk amplitude, crosstalk phase, crosstalk frequency, and wavelength characteristics, the crosstalk level coefficient of the first transmission channel is obtained; Add the crosstalk level coefficient to the first transmission characteristic.

2. The multi-channel parallel transmission optimization method for silicon photonics engines as described in claim 1, characterized in that, Also includes: The optical waveguide structure of the silicon photonics engine is optimized using a predetermined optimization strategy. The predetermined optimization strategy refers to using a predetermined waveguide material to fabricate the optical waveguide structure, and the optical waveguide structure has a predetermined waveguide bending radius and a predetermined waveguide thickness, and the high refractive index difference of the predetermined waveguide material reaches a predetermined limit.

3. The multi-channel parallel transmission optimization method for silicon photonics engines as described in claim 1, characterized in that, The predetermined encoding and decoding mechanism includes a predetermined encoding scheme and a predetermined decoding scheme. The predetermined encoding scheme is used to encode the transmitted signal at the transmitting end, and the predetermined decoding scheme is used to decode the transmitted signal at the receiving end.

4. The multi-channel parallel transmission optimization method for silicon photonics engines as described in claim 1, characterized in that, The predetermined encryption / decryption mechanism includes a predetermined encryption scheme and a predetermined decryption scheme. The predetermined encryption scheme is used to encrypt the transmitted signal at the sending end, and the predetermined decryption scheme is used to decrypt the transmitted signal at the receiving end.

5. The multi-channel parallel transmission optimization method for silicon photonics engines as described in claim 1, characterized in that, The method further includes using the second transmission signal as the target transmission signal of the silicon photonics engine and transmitting the target transmission signal in parallel: The target transmission signal is dynamically monitored to obtain real-time transmission information; Extract the real-time signal quality from the real-time transmitted information, and perform normalized weighted analysis on the real-time signal quality to obtain the signal quality index; If the signal quality index fails to reach the predetermined quality limit, a first warning signal is issued. Based on the first warning signal, a transmission anomaly warning is issued for the silicon photonics engine.

6. The multi-channel parallel transmission optimization method for silicon photonics engines as described in claim 5, characterized in that, Based on the first warning signal, the silicon photonics engine is given a transmission anomaly warning, including: The multi-channel transmission characteristics are analyzed based on the first warning signal, and real-time pre-emphasis parameters are determined, including real-time digital pre-emphasis and real-time analog pre-emphasis. The silicon photonics engine is dynamically optimized for transmission through the real-time digital pre-emphasis and the real-time analog pre-emphasis. The real-time digital pre-emphasis compensates for signal attenuation and distortion during transmission by adjusting the amplitude and phase of the signal, while the real-time analog pre-emphasis adjusts the signal amplitude through hardware circuitry.

7. The multi-channel parallel transmission optimization method for silicon photonics engines as described in claim 5, characterized in that, After dynamically monitoring the transmission of the target signal to obtain real-time transmission information, the process includes: Extract the real-time engine temperature from the real-time transmitted information; If the real-time engine temperature reaches the predetermined temperature limit, a second warning signal will be issued. The silicon photonics engine is given an operational anomaly warning based on the second warning signal.

8. A multi-channel parallel transmission optimization system for silicon photonics engines, characterized in that, The system is used to execute the multi-channel parallel transmission optimization method for silicon photonics engines as described in any one of claims 1-7, including: Signal optimization module: Collects the multi-channel transmission characteristics of the silicon photonics engine, and optimizes the transmission signal of the silicon photonics engine based on the multi-channel transmission characteristics to obtain the initial transmission signal; Encoding / decoding processing module: retrieves a predetermined encoding / decoding mechanism and performs encoding / decoding processing on the initial transmission signal according to the predetermined encoding / decoding mechanism to obtain a first transmission signal; Encryption / decryption processing module: retrieves a predetermined encryption / decryption mechanism and performs encryption / decryption processing on the initial transmission signal according to the predetermined encryption / decryption mechanism to obtain a second transmission signal; Parallel transmission module: The second transmission signal is used as the target transmission signal of the silicon photonics engine, and the target transmission signal is transmitted in parallel.

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