Optical Network Control Plane Dynamic Learning Sequence Adaptation
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Solution Overview
Problem
Optical networks face inefficiencies in channel filling and increased complexity due to the transmission of data bursts, leading to distortion and errors in channel equalization, especially when receivers experience gaps in signal reception, which affects payload bit rate and channel equalization performance.
Innovation Solution
A dynamic control plane system that adjusts the size of the learning sequence in multi-carrier data bursts based on the duration of signal absence and reception performance, using a centralized control unit to optimize the size of the learning sequence for each source node, thereby improving channel equalization and reducing payload bit rate penalties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the size of the learning sequence is increased to improve channel equalization performance after signal gaps, then the distortion and errors are reduced, but the payload bit rate decreases due to larger overhead
Solution Approach 1:
The patent applies dynamics by making the learning sequence size variable rather than fixed. The control plane dynamically adapts the number of learning symbols in each burst based on the duration of signal absence detected at the receiver. When gaps are detected, the learning sequence is extended; when no gaps occur, it is reduced to minimum, thereby resolving the contradiction between reliability and productivity
Solution Approach 2:
The patent changes the parameter of learning sequence size based on transmission conditions. The control plane monitors signal continuity and adjusts the learning sequence length parameter accordingly, transforming a static system into an adaptive one that optimizes the balance between equalization performance and payload efficiency under varying conditions
2Device complexity
If a fixed learning sequence size is used, then the system complexity is reduced, but the channel equalization performance deteriorates when signal gaps occur
Solution Approach 1:
The patent implements feedback by having the receiver detect signal gaps and communicate this information back to the control plane, which then adjusts the learning sequence size for subsequent bursts. This feedback mechanism enables adaptive optimization of channel equalization performance without requiring complex real-time processing at the receiver
Solution Approach 2:
The control plane performs preliminary action by proactively adjusting the learning sequence size before transmission based on detected signal conditions. When gaps are detected, the control plane pre-extends the learning sequence in the next burst to ensure adequate equalization, preventing performance deterioration before it occurs
3Measurement precision
If the learning sequence is extended to cover signal absence gaps, then the equalization accuracy is improved, but the transmission time increases
Solution Approach 1:
The patent uses dynamics to make the learning sequence duration variable. The control plane calculates the minimum necessary learning sequence length based on the detected gap duration and extends it only when needed, rather than using a permanently extended sequence. This dynamic adaptation improves equalization accuracy during gaps while minimizing time loss during normal transmission
Data Source
AI summary
A system for sending data in an optical network comprising a plurality of source nodes and destination nodes is disclosed. In one aspect, a source node generates, in a spectral band that is associated with it, a multi-carrier optical data signal obtained by modulation of a source signal at a source wavelength and sends it in the form of single-band data bursts that can be associated with distinct source wavelengths. A single-band data burst comprises, in addition to payload data symbols (PL), a sequence of learning symbols (TS) composed of a plurality of learning symbols. A control unit belonging to the control plane of the optical network determines, for at least one of the source nodes, instants of sending of the single-band data bursts and source wavelengths to be used for sending these single-band data bursts, as a function of a path time of the data bursts between the source node and one of the destination nodes associated with the source wavelength. The control unit also determines the size of the sequence of learning symbols (TS) of the single-band data bursts.