Optical Channel Bitrate Allocation Using OSNR Upgrade Candidates
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Solution Overview
Problem
Existing methods for optimizing bitrate allocation in optical transmission links with multiple channels are computationally intensive and infeasible for complex systems, particularly in live WDM systems, due to the need to solve numerous optimization problems and consider non-linear fiber effects.
Innovation Solution
A method that determines an initial discretized bitrate allocation and power allocation, followed by varying the channel power of individual channels to estimate the highest supported bitrate while maintaining an OSNR threshold, reducing the need for solving minimum margin problems and focusing upgrades on candidate channels with potential for increased bitrates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to optimize bitrate allocation in optical transmission links, then accurate bitrate allocation considering non-linear fiber effects is achieved, but computational complexity becomes infeasible for complex systems with large number of optical channels
Solution Approach 1:
The patent segments the optimization process into two distinct phases: (1) an initial discretized bitrate allocation phase that provides a feasible starting point, and (2) a subsequent optimization phase that refines the allocation. This segmentation divides the complex overall optimization problem into manageable sub-problems, reducing computational complexity while maintaining allocation accuracy.
Solution Approach 2:
The patent performs preliminary action by determining an initial discretized bitrate allocation before proceeding with optimization. This preliminary allocation satisfies basic feasibility constraints and provides a starting point for subsequent refinement, avoiding the need to solve the complete optimization problem from scratch and thereby reducing computational burden.
2Measurement precision
If existing methods are used to solve optimization problems for bitrate allocation, then optimal bitrate allocation is achieved, but computation time becomes too long for live WDM systems
Solution Approach 1:
By determining an initial discretized bitrate allocation before optimization, the patent performs preliminary action that establishes a feasible starting point. This allows the optimization algorithm to converge faster to an optimal solution, significantly reducing computation time for live WDM systems while still achieving optimal bitrate allocation.
Solution Approach 2:
The patent segments the computation into an initial allocation phase and an optimization phase. The initial phase quickly establishes feasible bitrates, and the optimization phase refines them. This segmentation avoids solving the complete optimization problem in one computationally intensive step, thereby reducing overall computation time.
3Productivity
If channel power is increased in one optical channel to improve its bitrate, then the bitrate of that channel increases, but OSNR in other optical channels deteriorates due to non-linear fiber effects
Solution Approach 1:
The patent applies parameter changes by optimizing both bitrate and channel power together rather than independently. The optimization algorithm adjusts channel powers as variables alongside bitrates, finding a balanced configuration where increasing power in one channel does not excessively degrade OSNR in others, thereby resolving the trade-off between individual channel productivity and overall system reliability.
Solution Approach 2:
The optimization process incorporates feedback by evaluating the impact of bitrate and power allocations on OSNR margins for all channels. The algorithm uses OSNR margin information to guide adjustments, ensuring that power increases in one channel do not cause OSNR deterioration in other channels below acceptable thresholds, thus balancing individual channel performance with system-wide reliability.
Data Source
AI summary
A method for determining a bitrate allocation of a plurality of optical channels in an optical transmission link with discretized channel bitrates, the method comprising determining an initial discretized bitrate allocation and a corresponding initial power allocation for the plurality of optical channels for supporting the initial discretized bitrate allocation with the proviso that all optical channels meet a pre-defined optical signal-to-noise, OSNR, threshold for the respective initial discretized bitrate allocated to the respective optical channel; starting from the initial power allocation, varying, for an investigated optical channel of the plurality of optical channels, a channel power of the investigated optical channel to estimate a highest supported discretized bitrate for the investigated optical channel, wherein the highest supported discretized bitrate is the highest discretized bitrate for which the investigated optical channel meets a corresponding OSNR threshold; including the investigated optical channel in an upgrade candidate subset of the plurality of optical channels for potential bitrate upgrades based on the highest supported discretized bitrate exceeding the initial discretized bitrate for the investigated optical channel; and providing the upgrade candidate subset to an upgrade allocation algorithm.