Reception Device Parallel Decoding Superposition Coding
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Solution Overview
Problem
The multiplexing scheme utilizing superposition coding faces inefficiencies due to processing delays and increased resource requirements, such as arithmetic and memory resources, and suffers from decreased transmission capacity due to interference between superposed data series.
Innovation Solution
The proposed solution involves a reception device capable of efficiently processing multiplexed signals using parallel decoding methods, which reduces processing delays and resource requirements by simultaneously obtaining multiple data series, and employs non-uniform constellations to enhance transmission capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sequential decoding is used to process multiplexed data series, then decoding accuracy is improved, but processing delay increases
Solution Approach 1:
The patent divides the multiplexed signal into multiple layers with different noise tolerances. The reception device performs sequential decoding by first decoding the layer with highest noise tolerance, then using that decoded information to assist decoding of subsequent layers. This segmentation allows parallel processing of different layers while maintaining decoding accuracy through the sequential nature of inter-layer dependency.
2Productivity
If superposition coding is used to multiplex data series, then transmission capacity is improved, but interference between data series increases
Solution Approach 1:
The patent assigns different power allocation ratios to different layers of multiplexed data series. Layers with higher noise tolerance receive different power levels than layers with lower noise tolerance. This local quality differentiation allows the system to maximize transmission capacity while managing interference, as each layer is optimized for its specific noise tolerance characteristics.
Solution Approach 2:
The patent changes the power allocation parameters for different data series in the multiplexed signal. By adjusting the power distribution among layers based on their noise tolerance requirements, the system achieves higher transmission capacity while controlling interference effects between superposed data series.
3Measurement precision
If sequential decoding with re-modulation is used, then complete data series extraction is improved, but arithmetic resource requirements increase
Solution Approach 1:
The patent performs preliminary decoding of the layer with highest noise tolerance before attempting to decode other layers. This preliminary action provides decoded information that can be used to cancel interference from the first layer when decoding subsequent layers, reducing the arithmetic complexity required for complete data series extraction.
4Measurement precision
If memory resources are allocated for holding received symbols during sequential decoding, then decoding accuracy is improved, but device complexity increases
Solution Approach 1:
The patent extracts and utilizes the decoded information from the first layer to cancel its contribution from the received signal before decoding the second layer. This extraction approach reduces the need for extensive memory resources to hold all received symbols, as the system only needs to retain and process the decoded information from previously decoded layers.
Data Source
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AI summary
A reception device includes: a receiver that receives a multiplexed signal; a first demapper that demaps the multiplexed signal, with a second modulated symbol stream of a second data series being included in the multiplexed signal as an undefined signal component, to generate a first bit likelihood stream of a first data series; a second demapper that demaps the multiplexed signal, with a first modulated symbol stream of the first data series being included in the multiplexed signal as an undefined signal component, to generate a second bit likelihood stream of the second data series; a first decoder that performs error control decoding on the first bit likelihood stream to derive the first data series; and a second decoder that performs error control decoding on the second bit likelihood stream to derive the second data series.