Optical Transmitter Channel Model Selection for Bit-Error Reduction
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Solution Overview
Problem
Optical communication systems face challenges in maintaining data integrity due to errors introduced by the attributes of the communication path, which increase with additional compression layers, leading to misinterpretation of bit values and higher bit-error rates.
Innovation Solution
The system dynamically selects a channel model from a set of models based on the optical communication path characteristics and feedback messages, mapping transmission power levels to binary values and allowing for repeated instances to be represented by higher power outputs, ensuring optimal data transmission by matching the channel model to the current conditions and data requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If compression is applied to increase bandwidth capacity, then more data can be transmitted, but bit-error rate increases due to misinterpretation of bit values
Solution Approach 1:
The patent changes the parameter mapping between transmission power levels and binary values dynamically. By adjusting which power levels correspond to which bit values based on current channel conditions, the system optimizes both compression effectiveness and error rate, resolving the contradiction between bandwidth capacity and reliability
Solution Approach 2:
The system dynamically selects different channel models from a set of predefined models based on real-time feedback about channel characteristics. This dynamic adaptation allows the system to maintain high bandwidth capacity while minimizing bit-error rates by matching the encoding scheme to current transmission conditions
2Device complexity
If a fixed channel model is used, then system complexity is reduced, but adaptability to varying channel conditions deteriorates
Solution Approach 1:
The system transitions from a fixed channel model to a dynamic selection mechanism that chooses appropriate models based on real-time channel feedback. This enables adaptation to varying conditions while maintaining manageable complexity through a finite set of predefined models
Solution Approach 2:
The system uses feedback messages from the receiver about channel characteristics to inform the transmitter's channel model selection. This feedback loop enables adaptive behavior without requiring complex real-time analysis, balancing adaptability with system complexity
Data Source
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AI summary
A system for transmitting data over an optical communication path is configured to receive data to be encoded in a bitstream for transmission using an optical communication path and encodes the received data to obtain a bitstream. The system is further configured to determine that the bitstream includes a sequence of consecutive bits, and obtain a power level at which to transmit a portion of the bitstream based on a count of the consecutive bits in the sequence. The system may be configured to selectively activate a light source at a power level according to a modulation scheme to optically transmit the portion of the bitstream at the power level.