Orthogonal Matrix Construction for 16 Spatial Streams
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Solution Overview
Problem
Current WLAN standards, such as Wi-Fi 7, are limited to supporting up to eight spatial streams, which is insufficient for the developing Wi-Fi 8 standard, necessitating a matrix technology that can efficiently handle a higher number of spatial streams.
Innovation Solution
The development of a wireless device equipped with a controller to construct orthogonal matrices of sizes 12×12 or 16×16, enabling the support of up to 16 spatial streams through methods such as reusing smaller matrices, flipping signs, and replicating sign flip operations within sub-matrices, while maintaining compatibility with IEEE 802.11 protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the P-matrix is used to support spatial streams, then spatial multiplexing is enabled, but the number of spatial streams is limited to eight
Solution Approach 1:
The 16x16 orthogonal matrix is segmented into four 4x4 sub-matrices, allowing the system to handle larger spatial stream counts by processing smaller manageable blocks. This segmentation enables support for up to 16 spatial streams while maintaining computational feasibility through divided processing.
Solution Approach 2:
The patent reuses smaller orthogonal matrices (8x8, 6x6, 4x4) within the construction of larger 12x12 and 16x16 matrices. This nested approach allows efficient construction of larger matrices by combining and transforming smaller proven matrices, reducing the need to create entirely new matrix structures from scratch.
2Adaptability or versatility
If the orthogonal matrix size is increased to 12x12 or 16x16, then support for more spatial streams is achieved, but hardware complexity increases
Solution Approach 1:
The patent designs orthogonal matrices that can serve multiple functions: the same 12x12 or 16x16 matrix structure supports different numbers of spatial streams (9-16 streams), and smaller matrices can be reused to construct larger ones. This multi-functionality reduces hardware complexity by avoiding the need for separate matrix structures for each stream count.
Solution Approach 2:
Smaller orthogonal matrices are nested within larger matrix constructions. The 8x8 matrix is reused to construct the 16x16 matrix, and 6x6 matrices are reused for 12x12 construction. This nesting allows existing hardware that can handle smaller matrices to be leveraged for larger matrix operations, minimizing additional hardware requirements.
3Adaptability or versatility
If sign flip operations are applied to construct orthogonal matrices, then matrix construction flexibility is improved, but processing complexity increases
Solution Approach 1:
Instead of applying complex transformations to entire matrices, the patent applies simple sign flip operations to specific local elements (individual matrix elements or small sub-groups). This local quality approach maintains overall matrix structure while achieving the needed orthogonality and flexibility, reducing processing complexity compared to global transformations.
Solution Approach 2:
The patent changes the sign parameter (+1 or -1) of specific matrix elements to construct orthogonal matrices from smaller sub-matrices. This simple parameter change approach is computationally efficient compared to more complex matrix transformations, achieving flexibility with minimal processing overhead.
Data Source
AI summary
Embodiments of an apparatus and method for wireless communications are disclosed. In an embodiment, a wireless device includes a controller configured to construct an orthogonal matrix, and a wireless transceiver configured to conduct wireless communications based on the orthogonal matrix. The size of the orthogonal matrix is 12×12 or 16×16.