Parallel Channel Polar Coding for High-Order Signal Decoding
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Solution Overview
Problem
In communications systems, the transmission rate in parallel channel scenarios is limited by the capacity of additive white Gaussian noise (AWGN) channels, especially when signal-to-noise ratio (SNR) is high, and existing methods fail to efficiently improve transmission rates without occupying extra bandwidth.
Innovation Solution
The method involves dividing each parallel channel into equivalent binary subgroups, arranging information bits in specific orders, and performing polar code encoding to create high-order signals that are transmitted across multiple channels, allowing for transmission rates closer to channel capacity by utilizing the mapping and hierarchical decoding of information bits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If binary signal transmission is used in parallel channels, then transmission reliability is maintained, but transmission rate is limited by channel capacity
Solution Approach 1:
The patent segments the transmission system into multiple parallel channels, each handling a portion of the data stream. By dividing the original data into multiple substreams and transmitting them simultaneously over parallel channels, the system achieves higher aggregate transmission rates while maintaining reliability through distributed transmission and combined decoding
Solution Approach 2:
The patent transitions from single-channel binary transmission to multi-dimensional parallel channel transmission. By utilizing multiple spatial dimensions (parallel channels) and combining them with coded modulation, the system breaks through the capacity limit of individual binary channels while maintaining overall transmission reliability through the coordinated operation of all channels
2Productivity
If high-order signals are transmitted to improve rate, then transmission rate increases, but decoding complexity increases
Solution Approach 1:
The patent segments high-order signal transmission into multiple parallel binary-like channels, each with its own codebook and decoding process. This segmentation allows the receiver to decode each substream independently using simpler binary decoding logic, then combine the results to reconstruct the original high-rate data stream
Solution Approach 2:
The patent merges multiple parallel channel transmissions with coded modulation techniques. By combining the output of multiple parallel decoders through a mapping process, the system achieves high-order signal transmission rates while keeping individual decoder complexity manageable through the modular parallel structure
Data Source
AI summary
A data processing method, an apparatus, and a device are disclosed. The data processing method may be performed by a first communications device, and the first communications device is a transmit end of encoded data. The first communications device may send a high-order signal to a second communications device by using a plurality of parallel channels, and information bits in the parallel channels are arranged in a specified order. The method helps improve a transmission rate in a parallel channel transmission scenario, and helps the second communications device perform correct decoding.