Layer Permutation Mapping for MIMO Signal Diversity
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Solution Overview
Problem
High-dimensional MIMO systems face limitations in achieving time-frequency spatial diversity due to strong coherence in resource mapping, leading to insufficient spatial diversity gains and transmission efficiency.
Innovation Solution
A data processing apparatus and method that involves determining an l×l matrix, either identity or circulant, for layer permutation mapping of complex-valued modulation symbols, scattering them across multiple transport layers to enhance time-frequency diversity and spatial diversity gains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data of a code word is mapped to adjacent resource elements in HD-MIMO system, then resource mapping is simplified, but time-frequency spatial diversity gain is insufficient
Solution Approach 1:
The patent segments the code word data into multiple code blocks and maps them to different resource element sets with different time-frequency characteristics. By dividing the data stream into multiple segments and distributing them across different resource elements, the system achieves both simplified mapping procedures and improved spatial diversity gain.
Solution Approach 2:
The patent introduces a new dimension in resource element selection by considering both time and frequency dimensions simultaneously. Instead of mapping to adjacent elements only, the invention selects resource elements that span multiple time slots and frequency resources, creating a multi-dimensional mapping strategy that enhances diversity gain while maintaining mapping simplicity.
2Device complexity
If code word data is centrally mapped in low dimensional MIMO system, then mapping is straightforward, but spatial diversity gain is limited
Solution Approach 1:
The patent applies local quality by differentiating the mapping strategy for different code blocks. Each code block is mapped to specific resource element sets with distinct time-frequency characteristics. This localized differentiation ensures that each segment benefits from optimal diversity characteristics while the overall mapping remains systematic and manageable.
Data Source
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AI summary
A data processing apparatus and a data processing method are provided. The method includes: inputting q data streams, where each data stream includes Msymb complex-valued modulation symbols of one code word, and q and Msymb are integers greater than or equal to 1; determining an 1×1 matrix used by the Msymb complex-valued modulation symbols included in each data stream, where the 1×1 matrix is one of an 1×1 identity matrix and a circulant matrix of the 1×1 identity matrix, and 1 is a quantity of transport layers; and performing, by using the determined 1×1 matrix, layer permutation mapping on the Msymb complex-valued modulation symbols included in each data stream.