Constellation Shaping Mask Selection for OFDM Scheduling
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in transmitting data due to unpredictable variations in bit sequence lengths, which can lead to unreliable scheduling and increased requirements for orthogonal frequency-division multiplexing (OFDM) symbols, affecting throughput.
Innovation Solution
An enhanced constellation shaping system that applies masks to manipulate bits between ones and zeros, reducing the variation in output bit sequences and optimizing their length, allowing for fewer OFDM symbols to transmit the same amount of information, thereby increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional constellation shaping is used, then data transmission can be performed, but the bit sequence length varies unpredictably, reducing scheduling reliability and requiring more OFDM symbols
Solution Approach 1:
The patent applies bit manipulation masks to change the parameters of the bit sequence before encoding. By selectively inverting specific bits based on predefined masks, the system transforms the statistical properties of the input bits to achieve more predictable output lengths from the constellation encoder, thereby improving scheduling reliability without sacrificing throughput
Solution Approach 2:
The patent performs preliminary bit manipulation through masking operations before the constellation encoding process. By pre-processing the bits to optimize their distribution characteristics, the system prepares the data in advance to produce more consistent output lengths, enabling better scheduling predictions and reducing the number of OFDM symbols required
2Productivity
If no bit manipulation is applied, then the constellation encoding process is simple, but the output bit sequence length varies significantly, requiring more OFDM symbols for transmission
Solution Approach 1:
The system changes the parameters of the bit sequence by applying inversion masks that flip specific bits based on their position. This parameter transformation optimizes the input distribution for the constellation encoder, enabling more efficient packing of information and reducing the total number of bits that need to be transmitted, thereby improving throughput with minimal added complexity
Solution Approach 2:
The bit manipulation masks serve as an intermediary layer between the source data and the constellation encoder. This intermediate processing step transforms the raw bits into an optimized form that the encoder can process more efficiently, acting as a bridge that improves overall system productivity without requiring fundamental changes to the existing encoding architecture
Data Source
AI summary
This disclosure describes systems, methods, and devices related to enhanced constellation shaping. A device may generate payload bits associated with a frame to be sent to a first station device. The device may generate a first output bits having a first length based on the application of a first mask of one or more masks to the payload bits. The device may generate a second output bits having a second length based on the application of a second mask of the one or more masks. The device may compare the first length of the first output bits to the second length of the second output bits. The device may select the first mask or the second mask based on the comparison. The device may convert the payload bits using the selected mask before passing through a shaping encoder to generate shaped bits. The device may cause to send the frame bits and an indication of the selected mask to the first station device.