Probabilistic Amplitude Shaping With Energy-Constrained Sequence Coding
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Solution Overview
Problem
Existing wireless communication technologies face inefficiencies in encoding and decoding schemes that consume excessive processing power and energy, particularly in high-order modulation systems, leading to a significant shaping gap in signal-to-noise ratio performance.
Innovation Solution
Implementing a three-phase arithmetic coding (AC) encoding method that constrains energy levels and iteratively determines amplitude symbols to achieve a desired amplitude distribution, reducing computational burden and enhancing energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing encoding and decoding schemes are used in high-order modulation systems, then throughput and bandwidth utilization are improved, but processing power consumption and energy use increase significantly
Solution Approach 1:
The encoding process is divided into three distinct phases: (1) energy level selection based on cumulative sequence quantities, (2) composition determination through iterative processing, and (3) amplitude symbol sequence determination. This segmentation allows each phase to be optimized independently, reducing overall computational burden while maintaining throughput.
Solution Approach 2:
The patent pre-calculates and stores cumulative sequence quantities representing the number of symbol sequences with at most a respective energy level before the actual encoding operation. This preliminary action enables faster energy level selection during encoding, reducing real-time processing requirements and energy consumption.
2Productivity
If existing encoding schemes are used, then data transmission capability is improved, but a significant shaping gap in signal-to-noise ratio performance occurs
Solution Approach 1:
The patent changes the energy level parameter during encoding based on the information bits and cumulative sequence quantities. By dynamically selecting energy levels rather than using fixed modulation schemes, the system achieves better amplitude distribution and closes the shaping gap, improving signal-to-noise ratio performance while maintaining data transmission capability.
3Reliability
If complex encoding operations are performed to achieve amplitude shaping, then signal-to-noise ratio performance is improved, but computational burden increases
Solution Approach 1:
Cumulative sequence quantities are pre-computed and stored, eliminating the need for complex real-time calculations during encoding. This preliminary action reduces computational burden while still enabling the amplitude shaping operations that improve signal-to-noise ratio performance.
Solution Approach 2:
The patent performs a plurality of iterations to identify composition elements, where the number of iterations is related to the size of the symbol alphabet. This partial iteration approach achieves sufficient amplitude shaping performance without performing excessive computations, balancing reliability improvement with computational burden reduction.
Data Source
AI summary
This disclosure provides methods, devices and systems for encoding data for wireless communication to achieve an amplitude distribution. One implementation includes a method in which probabilistic amplitude shaping is constrained by an energy value and a sequence composition. The implementation may include three phases. In a first phase, the energy value is determined. In a second phase, the sequence composition is determined. In a third phase, the output sequence is determined as constrained by the sequence composition. The methods generate output sequences defining amplitude symbols that are used to encode data for transmission.