Parallel Binary Shaping Encoders for Low-Latency Modulation
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Solution Overview
Problem
Existing probabilistic shaping techniques in wireless communication are computationally complex and create bottlenecks, leading to increased latency and inefficient power usage due to the need to shape entire data payloads before transmission.
Innovation Solution
Implementing parallel binary shaping encoders that independently shape individual bit positions of a data payload, using multiple binary shaping operations to achieve a monotonically decreasing distribution across modulation symbols, reducing processing complexity and latency while optimizing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional probabilistic shaping techniques are used to shape entire data payloads before transmission, then signal reliability is improved through optimized power distribution, but processing complexity and latency increase due to the need to process complete data sets sequentially
Solution Approach 1:
The patent divides the data payload into multiple parallel bit streams, where each bit stream corresponds to a specific bit position within modulation symbols. Instead of shaping the entire data payload sequentially, the invention applies separate binary shaping operations to each parallel bit stream independently. This segmentation enables concurrent processing of multiple bit streams, significantly reducing processing complexity and latency while maintaining the power distribution optimization benefits of probabilistic shaping.
2Reliability
If traditional probabilistic shaping techniques are used to shape entire data payloads before transmission, then signal reliability is improved through optimized power distribution, but transmission latency increases due to sequential processing requirements
Solution Approach 1:
The patent segments the data payload into multiple parallel bit streams that can be processed simultaneously. Each bit stream is shaped by a dedicated binary shaping operation working in parallel with others, eliminating the sequential processing bottleneck of traditional approaches.
Solution Approach 2:
The patent performs binary shaping operations on individual bit positions before the modulation stage, preparing the bit streams in advance for efficient modulation. This preliminary action on segmented data allows the system to avoid latency-inducing sequential processing during the main transmission pipeline.
3Use of energy by moving object
If traditional probabilistic shaping techniques are used to shape entire data payloads, then power distribution is optimized across modulation symbols, but processing efficiency decreases due to bottleneck effects
Solution Approach 1:
The patent segments the data payload into multiple parallel bit streams, each processed by independent binary shaping operations. This eliminates the processing bottleneck of traditional sequential shaping while maintaining optimized power distribution across modulation symbols through controlled bit probability distributions.
Solution Approach 2:
The patent transitions from a single-dimensional sequential shaping approach to a multi-dimensional parallel processing architecture. By operating on multiple bit streams simultaneously across different bit positions, the system achieves both improved processing efficiency and maintained power optimization through the added dimension of parallelism.
Data Source
AI summary
This disclosure provides methods, components, devices and systems for performing probabilistic shaping using parallel binary shaping encoders. In some implementations, a data payload or information bit stream may be shaped or distributed across a set of constellation points using multiple separate binary shaping encoders that run independently and in parallel with one another. In particular, the data payload or information bit stream may be divided up into multiple “parallelized” bit streams that correspond to respective bit positions within the data payload, such as most significant bit (MSB) positions and least significant bit (LSB) positions of the data payload. The parallelized bit streams may be input into respective parallel binary shaping encoders, where the binary shaping encoders each alter the probability or distribution of the value of the respective bit positions to adjust the distribution across the symbols of the modulation constellation.