Code Table Signaling for Adaptive Signal Integrity in Noisy Channels
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Solution Overview
Problem
Existing data communication systems face challenges in maintaining signal integrity and adapting to varying communication environments, particularly in noisy conditions, due to limitations in modulation techniques and encoding processes.
Innovation Solution
The implementation of Optimized Code Table Signaling (OCTS) transforms binary data into real-valued vectors, which are then transmitted and decoded using pre-computed tables, allowing for dynamic management of Bit Error Rate, data throughput, bit energy, and signal range, while also providing secure transmission by preventing unauthorized decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional modulation techniques and encoding processes are used, then the communication system operates with standard protocols, but signal integrity deteriorates in noisy conditions and the system cannot adapt to varying communication environments
Solution Approach 1:
The system dynamically adapts its code table based on communication conditions. The patent implements adaptive code table selection where the encoder and decoder can switch between different code tables (e.g., from 8-ary to 16-ary code tables) depending on channel quality, allowing the system to optimize performance for varying communication environments while maintaining signal integrity through appropriate code selection
Solution Approach 2:
The system changes key parameters of the communication protocol by using optimized code tables that map binary data to real-valued vectors with specific properties. The patent employs code tables with carefully selected real-valued representations that maximize signal separation in noisy conditions, changing the fundamental parameter representation from standard digital encoding to optimized real-valued vector encoding
2Productivity
If optimized code table signaling is implemented to enhance signal integrity, then communication efficiency improves, but the system complexity increases due to custom encoding and decoding processes
Solution Approach 1:
The system performs preliminary actions by pre-computing and storing optimized code tables that map binary inputs to real-valued vector outputs. The patent prepares multiple code tables in advance with different properties (e.g., different alphabet sizes, different distance characteristics) so that during communication, the system can quickly select and apply the appropriate pre-computed table without performing complex real-time optimization, thus improving communication efficiency while managing complexity
Solution Approach 2:
The system uses copying by transmitting not only data but also code table identifiers or references that allow the receiver to copy or retrieve the corresponding code table from a predefined set. The patent implements mechanisms where code table selection information is transmitted alongside or before data, enabling the receiver to efficiently copy or access the appropriate decoding table without complex real-time analysis
3Reliability
If adaptive code table selection is used to manage bit error rate and signal range, then communication reliability improves, but the loss of information increases due to the transformation from binary to real-valued vectors
Solution Approach 1:
The system implements feedback mechanisms where the receiver evaluates the quality of received signals and feeds back information about channel conditions, code table performance, and error rates to the transmitter. The patent uses this feedback to dynamically adjust code table selection, ensuring that the binary-to-real-valued transformation uses the most appropriate code table for current conditions, thereby minimizing information loss while maintaining reliability through adaptive optimization
Data Source
AI summary
In various embodiments, a computer-implemented method for optimized data transfer utilizing optimized code table signaling is disclosed. In one embodiment, a computer-implemented method comprises receiving, by a processor, a digital bit stream and transforming, by the processor, the digital bit stream to an encoded digital bit stream. The encoded digital bit stream comprises at least one of a gateway channel, a composite channel, or a data channel, and any combination thereof. The computer-implemented method further comprises providing, by the processor, the encoded digital bit stream to a transmission system for transmission and establishing, by the processor, signal integrity by utilizing pre-coordinated, pre-distributed information to limit the transmission to an intended sender-receiver pair. The intended sender-receiver pair comprises the pre-coordinated, pre-distributed information.