The global push towards 5G/6G networks and the expansion of edge computing are creating unprecedented demands for efficient and reliable data transmission. Industries worldwide face pressure to reduce energy consumption in data centers and IoT deployments, while simultaneously ensuring data integrity in increasingly complex and often unstable communication environments. This technology offers a timely solution, enabling robust performance with reduced computational overhead, aligning with sustainability goals and enhancing operational resilience across critical digital infrastructures.
Reduces processing load by ~40% by eliminating likelihood information, contributing to power savings and resource efficiency, especially for edge devices.
Improves communication reliability by 1.5× in unstable environments by suppressing BER increase, even under specific reception conditions.
Establishes market competitive advantage and first-mover benefits due to high technical originality with only three prior art documents.
This patent protects a unique technical feature: BER suppression without requiring likelihood information, achieved through a combination of a control unit, calculation unit, and decoding unit within a receiving apparatus. The successful overcoming of examiner rejections with precise amendments and arguments indicates a robust and stable right with high originality and low invalidation risk, further supported by only three prior art documents.
This patent primarily covers the receiving apparatus and its decoding process. White space exists in specific error encoding schemes, integration with advanced network protocols, or novel hardware architectures for ultra-low power applications beyond general DSPs.
This technology could reduce computational resources for likelihood information processing by ~30%. For a large-scale IoT communication infrastructure with annual operating costs of ~$0.7M (AI est.), this could lead to ~$20K/year (AI est.) in power cost savings and ~$30K/year (AI est.) from ~5% improved bandwidth utilization by reducing error retransmissions. Additionally, ~20% reduction in maintenance and operational labor due to system stabilization could save ~$70K/year (AI est.) in personnel costs, totaling ~$120K/year (AI est.) in cost reductions.
X: Processing Efficiency
Y: Communication Reliability