A method and system for optimizing transmission in a wavelength division multiplexing passive optical network

Abstract

The present application relates to the technical field of wavelength division multiplexing passive optical network transmission optimization, in particular to a wavelength division multiplexing passive optical network transmission optimization method and system. The method comprises the following steps: S1, constructing a network architecture by a plurality of pairs of wavelength stacking optical modules, dividing an optical network unit in the network architecture, and receiving and transmitting optical signals of a terminal by the optical network unit; through the dense wavelength division multiplexing and the ONU architecture design of separating transmission and reception, the wavelength resource pool capacity is further expanded, combined with the flexible branch ratio of 1:8 to 1:256 and the single-mode and multi-mode optical fiber compatible capability, the system can stably support 100Gb / s total rate transmission in different scales and different transmission distance scenes, and the problem of low wavelength resource utilization rate in the traditional static allocation mode is completely solved.

Description

Technical Field

[0001] This invention relates to the field of wavelength division multiplexing (WDM) passive optical network (PON) transmission optimization technology, and more specifically, to a WDM PON transmission optimization method and system. Background Technology

[0002] Wavelength division multiplexing (WDM) passive optical networks, as one of the core technologies in the field of optical communication, aim to break through the bandwidth bottleneck of traditional passive optical networks (PON). By integrating multiple optical signals of different wavelengths into a single optical fiber through wavelength division multiplexing technology, it provides dedicated uplink and downlink wavelength channels for terminals, thereby achieving high-speed, low-interference broadband transmission services.

[0003] Existing wavelength resource allocation mostly adopts a static mode, where terminals are fixed to occupy dedicated wavelength channels without considering dynamic changes in terminal operating status (such as switching from standby to 4K video playback). This leads to wasted wavelength resources in idle states, while under high load, the lack of buffer resources may cause stuttering. It is also impossible to accurately match the dynamic bandwidth requirements of services. Furthermore, the response to terminal status changes lacks predictability, and resources can only be passively adjusted after the status changes, resulting in high switching latency. This makes it difficult to meet the transmission continuity requirements of real-time services. Therefore, a wavelength division multiplexing passive optical network transmission optimization method and system are proposed. Summary of the Invention

[0004] The purpose of this invention is to provide a wavelength division multiplexing passive optical network transmission optimization method and system to solve the problems mentioned in the background art.

[0005] To address the aforementioned technical problems, one objective of this invention is to provide a method for optimizing transmission in wavelength division multiplexing (WDM) passive optical networks, comprising the following steps:

[0006] S1. A network architecture is constructed by stacking multiple wavelength optical modules. Optical network units are divided into the network architecture, and optical network units are used to receive and transmit optical signals from the terminal.

[0007] S2. Establish a wavelength division fiber unit. Based on the number of terminals, establish uplink and downlink wavelength modules in the wavelength division fiber unit. At the same time, obtain the historical network operations of each terminal and establish a network operation library.

[0008] S3. Obtain the operating status set of each terminal, and simultaneously preset the corresponding wavelength resources for each type of operating status. Based on the operating status set and the network operation library, perform operation analysis to obtain the network operation sequence corresponding to each operating status.

[0009] S4. Obtain the remaining wavelength resources of the network architecture, and at the same time select the online operating status of each terminal and the corresponding network operation sequence to perform a simulation analysis of the predicted operating status of the highest wavelength resources, and dynamically select the set of predicted operating statuses in combination with the remaining wavelength resources during the simulation analysis process.

[0010] S5. Based on the predicted operating status set selected in S4, new uplink and downlink wavelength modules are created and remaining wavelength resources are allocated in the wavelength division fiber unit. After the online operating status of each terminal changes, the newly created uplink and downlink wavelength modules are switched to maintain network transmission.

[0011] As a further improvement to this technical solution, in S1, a network architecture is constructed by stacking multiple pairs of wavelength optical modules to provide wavelength resources for the network architecture;

[0012] Among them, the wavelength stacked optical module adopts dense wavelength division multiplexing;

[0013] By dividing the network architecture into optical network units, each terminal corresponds to two optical network units. One optical network unit is used to receive optical signals from the terminal, and the other optical network unit is used to send optical signals to the terminal.

[0014] The optical network unit integrates a SerDes chip, a CML interface, and an optical module;

[0015] The SerDes chip outputs electrical signals through the CML interface to the optical network unit for receiving terminal optical signals. The optical network unit for receiving terminal optical signals converts them into optical signals and transmits them to the target terminal through a wavelength division fiber network. The optical network unit for sending optical signals to the terminal performs electro-optical conversion to generate the signal.

[0016] As a further improvement to this technical solution, in S2, a wavelength division fiber unit is established in the network architecture. The wavelength division fiber unit branches the same number of uplink and downlink wavelength modules according to the terminal data, and each uplink and downlink wavelength module is allocated wavelength resources.

[0017] Among them, the wavelength division fiber unit supports 8 to 256 branches through an optical multiplexer, which completes the adjustment of the number of uplink and downlink wavelength modules;

[0018] Record the historical network operations of each terminal, summarize the historical network operations corresponding to each terminal, and establish a network operation database with the terminal as the index.

[0019] As a further improvement to this technical solution, in S3, the operating status of each terminal is obtained and summarized into an operating status set. The operating status is then sieved into different states to obtain the historical operating status of each terminal. Then, the operating status is analyzed in conjunction with wavelength resources to obtain the wavelength resources allocated to each operating status.

[0020] Specifically, by analyzing the wavelength resources required to maintain stable operation, and then proportionally increasing the wavelength resources corresponding to network buffering, the two wavelength resources are combined as the wavelength resources allocated for the corresponding operation state.

[0021] As a further improvement to this technical solution, based on the set of operating states, operation analysis is performed in conjunction with the network operation library to obtain the network operations that have occurred in the history of each operating state.

[0022] At the same time, the network operations corresponding to each operating state are prioritized according to timeliness and frequency, and then sorted according to priority to form a network operation sequence corresponding to each operating state.

[0023] As a further improvement to this technical solution, in step S4, the remaining wavelength resources of the network architecture are obtained, and the online operating status of each terminal is also obtained, that is, the real-time operating status of the terminal.

[0024] Based on the online operating status, extract the corresponding network operation sequence, then combine the online operating status with the corresponding network operation sequence to simulate the operating status, obtain the predicted operating status after combining the operating status with different network operations, and extract the predicted operating status that occupies the highest wavelength resource.

[0025] The selection quantity is determined based on the remaining wavelength resources and the highest wavelength resources predicted for the operating status.

[0026] The more remaining wavelength resources there are, the more wavelengths can be selected;

[0027] The lower the availability of the highest wavelength resources, the more resources should be selected.

[0028] Then, based on the number of predicted operating states obtained from the simulation, the predicted operating states are dynamically selected to form a set of predicted operating states;

[0029] The predicted operating state set includes the predicted operating state that occupies the highest wavelength resource, and then selects the predicted operating state according to the priority of the network operation.

[0030] As a further improvement to this technical solution, in S5, based on the predicted operating state set selected in S4, a corresponding number of uplink and downlink wavelength modules are established in the wavelength division fiber unit, and resource allocation is performed according to the wavelength resources corresponding to the predicted operating state.

[0031] The online operating status of each terminal is monitored. When the operating status changes, the changed operating status is combined with its corresponding predicted operating status set for similarity selection. The predicted operating status with the highest similarity is obtained, and the upper and lower wavelength modules corresponding to the predicted operating status are selected to switch network transmission with the terminal.

[0032] Then, the original upper and lower wavelength modules used by the terminal and the upper and lower wavelength modules corresponding to other predicted operating states are deleted, wavelength resources are supplemented, and step S4 is repeated to generate new predicted operating states.

[0033] As a further improvement to this technical solution, the uplink and downlink wavelength modules include a tunable transmitter and a receiver. The tunable transmitter is based on a thermally modulated DFB laser and uses built-in PON control logic through a wavelength division fiber network to send signals to the uplink and downlink wavelength modules via PON, controlling the uplink and downlink wavelength modules to switch target wavelength units through the thermally modulated DFB laser.

[0034] The second objective of this invention is to provide a wavelength division multiplexing passive optical network transmission optimization system, including any one of the wavelength division multiplexing passive optical network transmission optimization methods described above, comprising a network construction unit, a network operation acquisition unit, a network operation allocation unit, a predictive operation analysis unit, and a transmission optimization unit.

[0035] The network building unit is used to construct a network architecture by stacking multiple pairs of wavelength optical modules, divide the network architecture into optical network units, and receive and transmit optical signals from the terminal through the optical network units.

[0036] The network operation acquisition unit is used to establish a wavelength division fiber unit, establish uplink and downlink wavelength modules in the wavelength division fiber unit according to the number of terminals, and acquire the historical network operations of each terminal to establish a network operation library.

[0037] The network operation allocation unit is used to obtain the operating status set of each terminal, and simultaneously preset corresponding wavelength resources for each type of operating status. It also performs operation analysis based on the operating status set and the network operation library to obtain the network operation sequence corresponding to each operating status.

[0038] The predictive operation analysis unit is used to obtain the remaining wavelength resources of the network architecture, and at the same time select the online operation status of each terminal and the corresponding network operation sequence to perform predictive operation status simulation analysis of the highest wavelength resources, and dynamically select the predictive operation status set in combination with the remaining wavelength resources during the simulation analysis process.

[0039] The transmission optimization unit is used to create uplink and downlink wavelength modules and allocate remaining wavelength resources in the wavelength division fiber unit according to the predicted operating state set selected by the predictive operating analysis unit, and to switch the newly created uplink and downlink wavelength modules to maintain network transmission after the online operating state of each terminal changes.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0041] 1. A wavelength division multiplexing (WDM) passive optical network (PON) transmission optimization method and system, through dense WDM and a transceiver-separated ONU architecture design, further expands the wavelength resource pool capacity. Combined with a flexible branch ratio of 1:8 to 1:256 and compatibility with single-mode and multi-mode optical fibers, it ensures that the system can stably support a total transmission rate of 100Gb / s in scenarios of different scales and transmission distances. It completely solves the problem of low wavelength resource utilization in the traditional static allocation mode. By establishing a network operation library to accumulate historical terminal behavior data and combining it with real-time operating status to build a predictive model, it can predict the operating status of high bandwidth demand in advance and reserve buffered wavelength resources. The buffer ratio can be flexibly set according to network fluctuation risk, effectively cope with sudden traffic surges, ensure the transmission continuity of terminals during dynamic state switching, and significantly reduce the bit error rate and service interruption probability.

[0042] 2. A wavelength division multiplexing (WDM) passive optical network (PON) transmission optimization method and system, which achieves rapid switching between uplink and downlink wavelength modules by relying on the coordinated control of PON control logic and thermally modulated DFB lasers. The switching delay is controlled within the service allowable threshold. With the help of a state matching algorithm based on cosine similarity, it ensures that the system can accurately switch to the optimal wavelength module when the state changes, thus meeting the low latency requirements of real-time services. At the same time, through a closed-loop optimization mechanism of prediction-allocation-switching-reclaiming, idle wavelength modules are promptly reclaimed after the terminal state stabilizes and added to the remaining resource pool for redistribution, which greatly improves the overall wavelength resource utilization rate and avoids waste caused by redundant configuration. Attached Figure Description

[0043] Figure 1 This is a flowchart illustrating a wavelength division multiplexing passive optical network transmission optimization method according to the present invention. Detailed Implementation

[0044] 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 some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] like Figure 1 As shown, one of the objectives of this invention is to provide a method for optimizing transmission in wavelength division multiplexing passive optical networks, comprising the following steps:

[0046] S1. Construct a network architecture by stacking multiple wavelength optical modules, divide the network architecture into optical network units, and receive and transmit optical signals from the terminal through the optical network units; build a hardware foundation with multi-wavelength resources, clarify the correspondence between the terminal and the optical network unit (ONU), and open up the transmission channel of electrical signal → optical signal → electrical signal.

[0047] In S1, a network architecture is constructed by stacking multiple wavelength optical modules to provide wavelength resources for the network architecture. The core of the network architecture is constructed by stacking multiple wavelength optical modules. The modules have built-in dense wavelength division multiplexing (DWDM) components. Through DWDM technology, multiple optical channels of different wavelengths are integrated into a single optical fiber to form an allocable wavelength resource pool to support the terminal's exclusive wavelength requirements.

[0048] Among them, the wavelength stacked optical module adopts dense wavelength division multiplexing;

[0049] By dividing the network architecture into optical network units, each terminal corresponds to two optical network units. One optical network unit is used to receive optical signals from the terminal, and the other optical network unit is used to send optical signals to the terminal.

[0050] In the network architecture, independent ONUs are partitioned, and two dedicated ONUs are allocated to each terminal—defined as a receiving ONU (responsible for receiving the optical signals output by the terminal) and a transmitting ONU (responsible for sending optical signals to the terminal), thus realizing the physical separation of the transmitting and receiving functions;

[0051] The optical network unit integrates a SerDes chip, a CML interface, and an optical module. The SerDes chip is responsible for serial-to-parallel conversion and rate adaptation of electrical signals, the CML interface is responsible for interference-free transmission of high-speed electrical signals, and the optical module is responsible for electro-optical / photoelectric signal conversion.

[0052] The SerDes chip outputs an electrical signal through the CML interface to the optical network unit for receiving terminal optical signals. The optical network unit for receiving terminal optical signals converts them into optical signals and transmits them to the target terminal through a wavelength division fiber network. The optical network unit for sending optical signals to the terminal performs electro-optical conversion to generate the signal.

[0053] Uplink signal transmission (terminal → network side): The optical signal output by the terminal is received by the receiving ONU, and the optical module completes the optical-to-electrical conversion to generate the original electrical signal. The SerDes chip performs serial-to-parallel conversion and rate optimization on the original electrical signal, and then outputs a stable high-speed electrical signal to the optical module through the CML interface. The optical module converts the electrical signal into an optical signal adapted to the wavelength division fiber network and injects it into the wavelength division fiber network for transmission.

[0054] Downlink signal transmission (network side → terminal): The target optical signal in the wavelength division fiber network is received by the corresponding transmitting ONU of the terminal, and the optical-to-electrical conversion is completed by the optical module to generate an electrical signal that can be recognized by the terminal, and finally output to the terminal device (such as computer, server, etc.).

[0055] S2. Establish wavelength division fiber units. Based on the number of terminals, establish uplink and downlink wavelength modules in the wavelength division fiber units. At the same time, acquire the historical network operations of each terminal and establish a network operation database. Configure basic wavelength resources according to the scale of terminals, and accumulate historical operation data of terminals to provide a basis for accurate prediction of resource demand in the future and connect the flexible branching capability of ODN.

[0056] In S2, wavelength division fiber units are established in the network architecture. Each wavelength division fiber unit branches the same number of uplink and downlink wavelength modules according to the terminal data, and each uplink and downlink wavelength module is allocated wavelength resources.

[0057] Independently deploy wavelength division fiber units in the existing network architecture as the core carrier for wavelength module management and signal transmission, and undertake signal interaction between optical multiplexers (ODN) and terminal optical network units (ONU);

[0058] The total number of terminals in the network is counted. The wavelength division fiber unit generates a corresponding number of independent uplink and downlink wavelength modules according to the principle that one terminal corresponds to one group of uplink and downlink wavelength modules. At the same time, a unique wavelength resource is allocated to each group of modules to ensure that there is no wavelength overlap between modules and to avoid signal interference.

[0059] Among them, the wavelength division fiber unit supports 8 to 256 branches through an optical multiplexer, which completes the adjustment of the number of uplink and downlink wavelength modules;

[0060] When the number of terminals is ≤8, a 1:8 branch ratio is enabled to match the deployment of a small number of modules;

[0061] When the number of terminals is ≤256, the branch ratio is adjusted as needed (e.g., 1:32, 1:64, 1:256), and the number of uplink and downlink wavelength modules is adjusted synchronously to ensure that the modules correspond one-to-one with the terminals.

[0062] Record the historical network operations of each terminal, summarize the historical network operations corresponding to each terminal, and establish a network operation database with the terminal as the index.

[0063] Real-time collection of network operation data from various terminals, including core parameters such as operation type (e.g., video playback, file upload, data collection), operation duration, bandwidth usage, and trigger time. Using the terminal ID as a unique index, the data is aggregated in the structure of terminal ID-operation timestamp-operation details to build a structured network operation library, supporting subsequent rapid querying and analysis.

[0064] S3. Obtain the operating status set of each terminal, and simultaneously preset the corresponding wavelength resources for each type of operating status. Based on the operating status set and the network operation library, perform operation analysis to obtain the network operation sequence corresponding to each operating status. Clarify the wavelength resource requirements of different operating statuses of the terminal, and sort out high-priority network operations to provide core basis for subsequent prediction of high resource consumption scenarios.

[0065] In S3, the operating status of each terminal is obtained and summarized into a set of operating statuses. The operating statuses are then sieved according to different states to obtain the historical operating statuses of each terminal. Finally, the operating statuses are analyzed in conjunction with wavelength resources to obtain the wavelength resources allocated to each operating status.

[0066] The system collects the operating status of all terminals in real time and retrieves the historical operating records of each terminal. The records are then merged to form a set of operating statuses that cover both real-time and historical data. The system also performs deduplication, classification, and screening of the operating status set, removing invalid statuses (such as abnormal disconnection statuses) and retaining the historical and current valid operating statuses of each terminal to form a unique list of valid operating statuses (ensuring that each status is independent and identifiable).

[0067] Analyze the stable operation requirements of each effective operating state, calculate its minimum stable wavelength resources (i.e., the minimum wavelength resources required to maintain normal operation without lag) using historical bandwidth data, and configure network buffer wavelength resources according to a preset ratio (to cope with sudden traffic fluctuations). Then, combine the two as the final allocated wavelength resources for that operating state to ensure transmission stability.

[0068] Specifically, by analyzing the wavelength resources required to maintain stable operation, and then proportionally increasing the wavelength resources corresponding to network buffering, the two wavelength resources are combined as the wavelength resources allocated for the corresponding operational state, as shown in the following formula:

[0069] ;

[0070] Among them, R total For the final allocation of wavelength resources in the operational state, R stable The minimum stable wavelength resource for this operating state, α is the network buffer resource ratio (range 0.1~0.3, set according to network fluctuation risk).

[0071] Based on the set of running states, and combined with the network operation library, operation analysis is performed to obtain the network operations that have appeared in history for each running state.

[0072] Using the unique and valid list of running states as an index, query the network operation library to extract all network operations that have been triggered in the history of each running state (such as video stream reception and dynamic bandwidth adjustment for 4K video playback).

[0073] At the same time, the network operations corresponding to each operating state are prioritized according to timeliness and frequency, and then sorted according to priority to form a network operation sequence corresponding to each operating state.

[0074] For each network operation corresponding to a running state, a timeliness weight (urgency level, such as real-time communication operations having a high timeliness weight) and a frequency weight (high-frequency operations having a high weight) are quantified. A priority score for each operation is calculated according to a weighted rule. Then, the network operations corresponding to each running state are sorted in descending order based on their priority scores, forming a network operation sequence specific to that state (high-priority operations first, ensuring resources are prioritized for critical operations). The formula is as follows:

[0075] ;

[0076] Where P is the priority score of the network operation (ranging from 0 to 10, with higher scores indicating higher priority), w1 is the timeliness weight (0.6, prioritizing real-time operations), w2 is the frequency weight (0.4, accommodating high-frequency operations), and S... time For timeliness rating, S freq Rate the number of times.

[0077] S4. Obtain the remaining wavelength resources of the network architecture, and simultaneously select the online operating status of each terminal and the corresponding network operation sequence to perform a simulation analysis of the predicted operating status of the highest wavelength resources. Combine the remaining wavelength resources to dynamically select the predicted operating status set during the simulation analysis process. Based on the real-time status and historical operations of the terminals, predict the possible high resource consumption operating status, and dynamically reserve resources in combination with the remaining wavelength resources to avoid temporary resource shortages.

[0078] In S4, the remaining wavelength resources of the network architecture (total wavelength resources minus wavelength resources already allocated to terminals) are obtained, and the online operating status of each terminal is also obtained, i.e., the real-time operating status of the terminal.

[0079] Based on the online operating status, extract the corresponding network operation sequence, then combine the online operating status with the corresponding network operation sequence to simulate the operating status, obtain the predicted operating status after combining the operating status with different network operations, and extract the predicted operating status that occupies the highest wavelength resource.

[0080] Based on the online operating status of each terminal, the corresponding network operation sequence is extracted from the built network operation library. The online operating status is simulated one by one, and the combined effect of each network operation in the sequence is combined to generate multiple different predicted operating states (i.e., the operating states that the terminal may switch to later). At the same time, the wavelength resource occupancy of each predicted operating state is calculated, and the predicted operating state with the highest wavelength resource occupancy is selected.

[0081] The selection quantity is determined based on the remaining wavelength resources and the highest wavelength resources predicted for the operating status.

[0082] The more remaining wavelength resources there are, the more wavelengths can be selected;

[0083] The lower the highest wavelength resource, the more resources can be selected, as shown in the following formula:

[0084] ;

[0085] Where K is the final number of predicted running states selected (ranging from 1 to 5, to avoid too few missing cases or too many wasting resources), R max R represents the wavelength resource occupancy in the highest predicted resource occupancy state. remain For the remaining wavelength resources of the network architecture, β is the remaining resource adaptation coefficient (default value is 2), γ is the resource occupancy compensation coefficient (default value is 1), max(·,1) ensures K≥1, and min(·,5) limits K≤5. This is the floor function.

[0086] Then, based on the number of predicted operating states obtained from the simulation, the predicted operating states are dynamically selected to form a set of predicted operating states;

[0087] The predicted operating state set includes, firstly, the predicted operating state that occupies the highest wavelength resource, and secondly, the predicted operating states are selected based on the priority of the network operations. From the remaining simulated predicted operating states, they are selected in descending order of the priority of their corresponding network operations until a set number is reached, thus forming a complete predicted operating state set.

[0088] S5. Based on the predicted operating status set selected in S4, new uplink and downlink wavelength modules are created and remaining wavelength resources are allocated in the wavelength division fiber unit. When the online operating status of each terminal changes, the newly created uplink and downlink wavelength modules are switched accordingly to maintain network transmission. The predicted results are implemented as actual resource allocation, terminal status changes are monitored in real time and resources are switched accordingly, while idle resources are reclaimed to form a closed loop, ensuring stable transmission and efficient resource utilization.

[0089] In S5, based on the predicted operating state set selected in S4, a corresponding number of uplink and downlink wavelength modules are established in the wavelength division fiber unit, and resources are allocated according to the wavelength resources corresponding to the predicted operating state.

[0090] Read the predicted operating state set generated by S4, count the number of predicted states in the set, and in the wavelength division fiber unit, create a corresponding number of independent uplink and downlink wavelength modules. According to the final allocated wavelength resources corresponding to each predicted operating state, allocate a dedicated wavelength channel to the corresponding uplink and downlink wavelength modules to ensure resource matching.

[0091] The online operating status of each terminal is monitored. When the operating status changes, the changed operating status is combined with its corresponding predicted operating status set for similarity selection. The predicted operating status with the highest similarity is obtained, and the upper and lower wavelength modules corresponding to the predicted operating status are selected to switch network transmission with the terminal.

[0092] Deploy status monitoring nodes to continuously collect the online operating status of each terminal, compare the current status with the previous status in real time, and determine whether a status change has occurred.

[0093] When the terminal's operating state changes, the feature parameters of the new state (such as bandwidth requirements, operation type, latency requirements, etc.) are extracted, the similarity between the new state and all states in the predicted operating state set corresponding to the terminal is calculated, and the predicted operating state with the highest similarity is selected.

[0094] Then, the built-in PON control logic of the wavelength division fiber network is triggered, and a switching command is sent to the uplink and downlink wavelength module corresponding to the prediction state with the highest similarity. The terminal immediately switches to the module and maintains continuous network transmission (without interruption) through the tunable transmitter and receiver built into the module.

[0095] Then, the original upper and lower wavelength modules used by the terminal and the upper and lower wavelength modules corresponding to other predicted operating states are deleted, wavelength resources are supplemented, and step S4 is repeated to generate new predicted operating states.

[0096] After the switch is completed, the uplink and downlink wavelength modules originally used by the terminal are automatically deleted, as well as other modules that were not selected in the predicted operating status set. The wavelength resources occupied by the deleted modules are released and added to the remaining wavelength resources of the network architecture to achieve resource recycling.

[0097] The uplink and downlink wavelength modules include a tunable transmitter and a receiver. The tunable transmitter is based on a thermally modulated DFB laser and uses built-in PON control logic through a wavelength division fiber network to send signals to the uplink and downlink wavelength modules, controlling the uplink and downlink wavelength modules to switch the target wavelength unit through the thermally modulated DFB laser.

[0098] The second objective of this invention is to provide a wavelength division multiplexing passive optical network transmission optimization system, including a wavelength division multiplexing passive optical network transmission optimization method comprising any one of the above, comprising a network construction unit, a network operation acquisition unit, a network operation allocation unit, a predictive operation analysis unit, and a transmission optimization unit.

[0099] The network building unit is used to construct a network architecture by stacking multiple pairs of wavelength optical modules, divide the network architecture into optical network units, and receive and transmit optical signals from the terminal through the optical network units;

[0100] The network operation acquisition unit is used to establish a wavelength division fiber unit, establish uplink and downlink wavelength modules in the wavelength division fiber unit according to the number of terminals, and acquire the historical network operations of each terminal to establish a network operation library.

[0101] The network operation allocation unit is used to obtain the operating status set of each terminal, and at the same time, preset the corresponding wavelength resources for each type of operating status. It also performs operation analysis based on the operating status set and the network operation library to obtain the network operation sequence corresponding to each operating status.

[0102] The predictive operation analysis unit is used to obtain the remaining wavelength resources of the network architecture. At the same time, it selects the online operation status of each terminal and the corresponding network operation sequence to perform predictive operation status simulation analysis of the highest wavelength resources, and dynamically selects the predictive operation status set in combination with the remaining wavelength resources during the simulation analysis process.

[0103] The transmission optimization unit is used to create uplink and downlink wavelength modules and allocate remaining wavelength resources in the wavelength division fiber unit according to the predicted operating status set selected by the predictive operation analysis unit. After the online operating status of each terminal changes, the newly created uplink and downlink wavelength modules are switched to maintain network transmission.

[0104] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing transmission in wavelength division multiplexing passive optical networks, characterized in that: Includes the following steps: S1. A network architecture is constructed by stacking multiple wavelength optical modules. Optical network units are divided into the network architecture, and optical network units are used to receive and transmit optical signals from the terminal. S2. Establish a wavelength division fiber unit. Based on the number of terminals, establish uplink and downlink wavelength modules in the wavelength division fiber unit. At the same time, obtain the historical network operations of each terminal and establish a network operation library. S3. Obtain the operating status set of each terminal, and simultaneously preset corresponding wavelength resources for each operating status. Based on the operating status set and the network operation library, perform operation analysis to obtain the network operation sequence corresponding to each operating status, including: Retrieve historical network operations for each running state; At the same time, the network operations corresponding to each operating state are prioritized according to timeliness and frequency, and the network operations are sorted according to priority to form a network operation sequence corresponding to each operating state. S4. Obtain the remaining wavelength resources of the network architecture, and simultaneously select the online operating status of each terminal and the corresponding network operation sequence to perform a simulation analysis of the predicted operating status of the highest wavelength resources. In conjunction with the remaining wavelength resources, dynamically select the predicted operating status set during the simulation analysis process, specifically including: Obtain the remaining wavelength resources of the network architecture, and at the same time obtain the online operating status of each terminal, that is, the real-time operating status of the terminal; Based on the online operating status, extract the corresponding network operation sequence, then combine the online operating status with the corresponding network operation sequence to simulate the operating status, obtain the predicted operating status after combining the operating status with different network operations, and extract the predicted operating status that occupies the highest wavelength resource. The selection quantity is determined based on the remaining wavelength resources and the highest wavelength resources predicted for the operating status. The more remaining wavelength resources there are, the more wavelengths can be selected; The lower the available highest wavelength resources, the more resources should be selected. Then, based on the number of predicted operating states obtained from the simulation, the predicted operating states are dynamically selected to form a set of predicted operating states; The predicted operating state set includes the predicted operating state that occupies the highest wavelength resource, and then selects the predicted operating state according to the priority of the network operation. S5. Based on the predicted operating status set selected in S4, new uplink and downlink wavelength modules are created and remaining wavelength resources are allocated in the wavelength division fiber unit. After the online operating status of each terminal changes, the newly created uplink and downlink wavelength modules are switched to maintain network transmission.

2. The wavelength division multiplexing passive optical network transmission optimization method according to claim 1, characterized in that: In S1, a network architecture is constructed by stacking multiple pairs of wavelength optical modules to provide wavelength resources for the network architecture. Among them, the wavelength stacked optical module adopts dense wavelength division multiplexing; By dividing the network architecture into optical network units, each terminal corresponds to two optical network units. One optical network unit is used to receive optical signals from the terminal, and the other optical network unit is used to send optical signals to the terminal. The optical network unit integrates a SerDes chip, a CML interface, and an optical module; The SerDes chip outputs electrical signals to the optical network unit responsible for receiving terminal optical signals via the CML interface. After the optical network unit completes photoelectric conversion, it transmits the optical signals to the transmitting optical network unit corresponding to the target terminal through a wavelength division fiber network. Finally, the transmitting optical network unit completes the signal output after electro-optical conversion.

3. The wavelength division multiplexing passive optical network transmission optimization method according to claim 1, characterized in that: In S2, a wavelength division fiber unit is established in the network architecture. The wavelength division fiber unit branches the same number of uplink and downlink wavelength modules according to the terminal data, and each uplink and downlink wavelength module is allocated wavelength resources. Among them, the wavelength division fiber unit supports 8 to 256 branches through an optical multiplexer, which completes the adjustment of the number of uplink and downlink wavelength modules; Record the historical network operations of each terminal, summarize the historical network operations corresponding to each terminal, and establish a network operation database with the terminal as the index.

4. The wavelength division multiplexing passive optical network transmission optimization method according to claim 1, characterized in that: In step S3, the operating status of each terminal is obtained and summarized into an operating status set. The operating status is then sieved into different states to obtain the historical operating status of each terminal. Finally, the operating status is analyzed in conjunction with wavelength resources to obtain the wavelength resources allocated to each operating status. Specifically, by analyzing the wavelength resources required to maintain stable operation, and then proportionally increasing the wavelength resources corresponding to network buffering, the two wavelength resources are combined as the wavelength resources allocated for the corresponding operation state.

5. The wavelength division multiplexing passive optical network transmission optimization method according to claim 1, characterized in that: In S5, based on the predicted operating state set selected in S4, a corresponding number of uplink and downlink wavelength modules are established in the wavelength division fiber unit, and resources are allocated according to the wavelength resources corresponding to the predicted operating state. The online operating status of each terminal is monitored. When the operating status changes, the changed operating status is combined with its corresponding predicted operating status set for similarity selection. The predicted operating status with the highest similarity is obtained, and the upper and lower wavelength modules corresponding to the predicted operating status are selected to switch network transmission with the terminal. Then, the original upper and lower wavelength modules used by the terminal and the upper and lower wavelength modules corresponding to other predicted operating states are deleted, wavelength resources are supplemented, and step S4 is repeated to generate new predicted operating states.

6. The wavelength division multiplexing passive optical network transmission optimization method according to claim 5, characterized in that: The uplink and downlink wavelength modules include a tunable transmitter and a receiver. The tunable transmitter is based on a thermally modulated DFB laser and uses built-in PON control logic through a wavelength division fiber network to send signals to the uplink and downlink wavelength modules, controlling the uplink and downlink wavelength modules to switch the target wavelength unit through the thermally modulated DFB laser.

7. A wavelength division multiplexing passive optical network transmission optimization system, used to implement the wavelength division multiplexing passive optical network transmission optimization method according to any one of claims 1-6, characterized in that: It includes a network construction unit, a network operation acquisition unit, a network operation allocation unit, a predictive operation analysis unit, and a transmission optimization unit; The network building unit is used to construct a network architecture by stacking multiple pairs of wavelength optical modules, divide the network architecture into optical network units, and receive and transmit optical signals from the terminal through the optical network units. The network operation acquisition unit is used to establish a wavelength division fiber unit, establish uplink and downlink wavelength modules in the wavelength division fiber unit according to the number of terminals, and acquire the historical network operations of each terminal to establish a network operation library. The network operation allocation unit is used to acquire the operating status set of each terminal, and simultaneously preset corresponding wavelength resources for each operating status. Based on the operating status set and the network operation library, it performs operation analysis to obtain the network operation sequence corresponding to each operating status, including: Retrieve historical network operations for each running state; At the same time, the network operations corresponding to each operating state are prioritized according to timeliness and frequency, and the network operations are sorted according to priority to form a network operation sequence corresponding to each operating state. The predictive operation analysis unit is used to obtain the remaining wavelength resources of the network architecture, and simultaneously selects the online operation status of each terminal and the corresponding network operation sequence to perform predictive operation status simulation analysis of the highest wavelength resources. Furthermore, it dynamically selects the predictive operation status set during the simulation analysis process, based on the remaining wavelength resources. Specifically, this includes: Obtain the remaining wavelength resources of the network architecture, and at the same time obtain the online operating status of each terminal, that is, the real-time operating status of the terminal; Based on the online operating status, extract the corresponding network operation sequence, then combine the online operating status with the corresponding network operation sequence to simulate the operating status, obtain the predicted operating status after combining the operating status with different network operations, and extract the predicted operating status that occupies the highest wavelength resource. The selection quantity is determined based on the remaining wavelength resources and the highest wavelength resources predicted for the operating status. The more remaining wavelength resources there are, the more wavelengths can be selected; The lower the available highest wavelength resources, the more resources should be selected. Then, based on the number of predicted operating states obtained from the simulation, the predicted operating states are dynamically selected to form a set of predicted operating states; The predicted operating state set includes the predicted operating state that occupies the highest wavelength resource, and then selects the predicted operating state according to the priority of the network operation. The transmission optimization unit is used to create uplink and downlink wavelength modules and allocate remaining wavelength resources in the wavelength division fiber unit according to the predicted operating state set selected by the predictive operating analysis unit, and to switch the newly created uplink and downlink wavelength modules to maintain network transmission after the online operating state of each terminal changes.

Images