AI Multi-Dimensional Modulation Shaping for Lower Transmission Power
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Solution Overview
Problem
Current wireless communication systems lack effective methods to harness shaping gain in constellation design, leading to inefficiencies in energy usage and performance, particularly in high and low code rate scenarios.
Innovation Solution
Implementing a multi-dimensional modulation scheme using parallel bit mappers and a symbol-level combiner, trained with machine-learning models to optimize bit-to-symbol mapping, aiming to minimize average transmission power for a given bit error rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional modulation schemes are used, then implementation is simple, but energy efficiency and shaping gain are insufficient
Solution Approach 1:
The patent divides the single bit-to-symbol mapping process into multiple parallel bit mappers, each handling different subsets of coded bits. This segmentation allows independent optimization of each mapper while maintaining overall system performance, thereby improving energy efficiency without overwhelming complexity
Solution Approach 2:
The patent transitions from conventional single-dimensional modulation to multi-dimensional modulation by introducing multiple parallel mapping paths and a symbol-level combiner. This dimensional expansion enables harnessing of shaping gain and improves energy efficiency
2Reliability
If conventional bit-to-symbol mapping is used, then implementation is straightforward, but shaping gain is not effectively harnessed
Solution Approach 1:
The patent merges the outputs of multiple parallel bit mappers at the symbol level using a combiner. This merging operation integrates the benefits of multiple optimized mapping paths, achieving improved link reliability and effective harnessing of shaping gain
Solution Approach 2:
The patent employs machine-learning models to dynamically optimize the bit-to-symbol mapping configurations. This dynamic optimization enables the system to adaptively harness shaping gain across varying code rates and channel conditions, improving link reliability
3Productivity
If single bit-to-symbol mapping is used, then system is simple, but performance at high and low code rates is poor
Solution Approach 1:
The patent applies different mapping characteristics to different subsets of coded bits through parallel bit mappers. Each mapper can be optimized for specific code rate ranges, enabling the system to maintain high productivity across both high and low code rate scenarios
Solution Approach 2:
The multi-dimensional modulation scheme with parallel bit mappers and symbol-level combiner serves multiple functions: it improves performance at both high and low code rates, enables effective shaping gain harvesting, and maintains adaptability across different wireless communication scenarios
Data Source
AI summary
In one embodiment, a method includes accessing a stream of coded bits, generating multiple sub-streams of coded bits based on the accessed stream of coded bits, mapping the sub-stream of coded bits to multiple intermediate symbols, respectively, based on multiple respective bit-mapper models, generating multiple constellation symbols from the multiple intermediate symbols based on a symbol-mapper model, and transmitting a signal generated based on the constellation symbols to a computing system.