Reversed Compression for PAS Distribution Matching in Wireless Links
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Solution Overview
Problem
Current wireless communication systems, such as 5G NR, face limitations in spectral efficiency and achievable information rate due to the 'shaping gap' in noisy channels, particularly in additive white Gaussian noise (AWGN) channels, where uniform signaling falls short of optimal capacity.
Innovation Solution
The implementation of probabilistic amplitude shaping (PAS) techniques, including distribution matchers and compressors, which convert uniformly distributed information bits into shaped symbols based on a target probability mass function (PMF), such as the Maxwell-Boltzmann Distribution, to enhance spectral efficiency and information rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform signaling is used in noisy channels, then the system is simple to implement, but spectral efficiency and achievable information rate are limited due to the shaping gap
Solution Approach 1:
The patent applies parameter changes by transforming the uniform distribution of information bits into a non-uniform distribution that matches a target probability mass function (PMF). This is achieved through distribution matching techniques including arithmetic coding/decoding, where the distribution matcher adjusts the statistical parameters of the signal constellation to optimize spectral efficiency while maintaining implementation feasibility through standardized algorithms
2Productivity
If probabilistic amplitude shaping with distribution matchers and compressors is implemented, then spectral efficiency and information rate improve, but device complexity increases
Solution Approach 1:
The patent segments the distribution matching function into separate transmitter and receiver components. The transmitter includes a distribution matcher that converts uniform bits to shaped symbols, while the receiver includes a distribution dematcher that reverses the process. This segmentation allows each component to be optimized independently and integrated with existing BICM schemes without requiring complete system redesign
Solution Approach 2:
The distribution matching framework is designed to be universal and compatible with existing bit-interleaved coded modulation (BICM) schemes. The compressor and decompressor functions can be integrated with various modulation schemes and channel coding techniques, providing a multi-functional solution that works across different communication scenarios without requiring dedicated hardware for each application
Data Source
AI summary
Apparatus, methods, and computer-readable media for facilitating distribution matching via reversed compression are disclosed herein. An example method for wireless communication at a wireless transmitter includes decompressing a first sequence of information bits for wireless transmission to output a sequence of shaped symbols. The example method also includes compressing the sequence of shaped symbols to output a second sequence of compressed information bits. The example method also includes transmitting, to a receiver, a signal comprising the sequence of shaped symbols.