Precoding Matrix Segmentation for MIMO SCMA Reliability
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Solution Overview
Problem
The challenge is to effectively combine Multiple-Input Multiple-Output (MIMO) technology with Sparse Code Multiple Access (SCMA) to enhance system capacity and transmission reliability, while overcoming the limitations of precoding processing that fail to utilize space diversity gain, leading to high bit error rates due to mutual interference among signal components.
Innovation Solution
A data processing method involving a transmit end device that performs mapping processing on information bits to generate modulation symbol sequences, followed by precoding using specific precoding matrices corresponding to each modulation symbol sequence, and superposition processing to generate a to-be-sent symbol sequence matrix, optimizing the use of space diversity gain and reducing bit error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If precoding processing is performed on superposed modulation symbols using a single precoding matrix, then device complexity is reduced, but space diversity gain cannot be effectively utilized leading to high bit error rates
Solution Approach 1:
The patent segments the precoding process by applying different precoding matrices to different layers of modulation symbols. Specifically, the transmit end device performs mapping processing on L layers of information bits to generate L layers of modulation symbol sequences, then performs precoding processing on each layer separately using corresponding precoding matrices from L precoding matrixes. This segmentation allows each layer to utilize optimal space diversity gain while maintaining manageable processing complexity through systematic organization.
Solution Approach 2:
The patent introduces an additional dimension to the precoding process by using multiple precoding matrices (L matrices for L layers) instead of a single matrix. Each precoding matrix operates in the spatial domain to provide space diversity gain. This dimensional expansion from single-matrix to multi-matrix precoding enables effective utilization of space diversity while the systematic layer-by-layer processing keeps complexity manageable.
2Productivity
If multiple terminal devices multiplex the same time-frequency resource, then system capacity is improved, but mutual interference between signal components increases leading to high bit error rates
Solution Approach 1:
The patent applies local quality by assigning different precoding matrices to different layers of modulation symbols, where each precoding matrix is optimized for its specific layer. This allows each user's signal components to be processed with locally optimized parameters (different precoding matrices for different layers), reducing mutual interference between co-multiplexed users while maintaining high system capacity. The receive end device can then decode each layer with appropriate processing.
Data Source
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AI summary
Embodiments of the present invention provide a data processing method, including: performing, by a transmit end device, mapping processing on L layers of information bits, to generate L layers of modulation symbol sequences, where each layer of modulation symbol sequence includes U modulation symbols, the L layers of modulation symbol sequences correspond to a same time-frequency resource, and the U modulation symbols include at least one non-zero modulation symbol and at least one zero modulation symbol; performing precoding processing on each layer of modulation symbol sequence according to a precoding matrix that corresponds to each layer of modulation symbol sequence and that is in L precoding matrixes, to generate L layers of modulation symbol sequence matrixes; and performing superposition processing on the L layers of modulation symbol sequence matrixes, to generate a to-be-sent symbol sequence matrix, where the to-be-sent symbol sequence matrix includes T element sequences in a first dimension, and the to-be-sent symbol sequence matrix includes U element sequences in a second dimension.