Minimum-Energy Coding for DC-Balanced Biosignal Transmission
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Solution Overview
Problem
In body area networks and low power networks, existing technologies face challenges in minimizing energy consumption while maintaining direct current (DC) balance during biosignal transmission, which is crucial for efficient and reliable biosignal sensing and processing.
Innovation Solution
A method and apparatus for minimum energy coding that determines a mapping rule to reorder codewords, predicting frequencies and calculating DC balance, ensuring optimal energy efficiency while maintaining DC balance by minimizing the number of '1' bits in codewords, and adapting mapping rules over time intervals to optimize power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If minimum energy coding is applied to reduce power consumption, then energy efficiency is improved, but DC balance may be compromised
Solution Approach 1:
The mapping rule is dynamically adapted over time intervals based on predicted frequencies of bit groups. The system transitions from static mapping to dynamic mapping where the mapping rule changes according to observed signal characteristics, allowing optimization of both energy consumption and DC balance maintenance
Solution Approach 2:
The system changes the mapping parameters (mapping rules) between codewords and bit groups to achieve optimal energy efficiency while maintaining DC balance. By adjusting which codeword maps to which bit group based on frequency prediction, the system can minimize energy consumption without compromising DC balance
2Reliability
If DC balance is maintained through codeword mapping, then transmission reliability is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary frequency prediction and mapping rule determination before actual transmission. By predicting the frequencies of bit groups in advance and pre-determining the optimal mapping rule, the system can prepare the most energy-efficient mapping that still maintains DC balance, rather than using conservative fixed mapping
Solution Approach 2:
The system uses feedback from observed bit group frequencies to adapt the mapping rule. By monitoring the actual frequency distribution of bit groups and adjusting the mapping rule accordingly, the system achieves optimal energy efficiency while ensuring DC balance is maintained through iterative optimization
Data Source
AI summary
A minimum energy coding method and apparatus that includes obtaining groups of bits from a bitstream and finding a mapping rule between the groups of bits and codewords that is chosen to maintain a DC balance. For example, the bitstream may be a bitstream corresponding to a biosignal.