Port-to-Antenna Mapping Matrix for Virtualized AAS
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Solution Overview
Problem
Existing port-to-antenna mapping techniques in virtualized Active Antenna Systems (AAS) fail to optimize radiation patterns and coverage, leading to distorted beam radiation and increased sidelobe leakage, especially when pre-defined codebooks are not aligned with desired radiation patterns.
Innovation Solution
A method for determining a port-to-antenna mapping matrix by generating a weight matrix based on source and target codebooks, optimizing the mapping to align with desired radiation patterns and coverage areas, using techniques such as weighted least squares or linear equation resolutions to improve the alignment of precoding vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional port-to-antenna mapping techniques are used, then the system structure is simple, but the radiation pattern alignment is poor and sidelobe leakage increases
Solution Approach 1:
The patent changes the parameters of the port-to-antenna mapping matrix by deriving it from source and target codebooks rather than using traditional fixed mapping techniques. This involves modifying the mapping parameters to achieve better radiation pattern alignment while managing the increased computational complexity through structured codebook designs.
2Manufacturing precision
If pre-defined codebooks are used without alignment optimization, then the system operation is simple, but the coverage and radiation pattern alignment deteriorate
Solution Approach 1:
The patent performs preliminary alignment between source and target codebooks before actual transmission operations. The port-to-antenna mapping matrix is pre-derived from these codebooks to ensure radiation pattern alignment is established in advance, improving coverage while the complexity is managed through systematic codebook configuration procedures.
3Object-generated harmful factors
If optimized port-to-antenna mapping is implemented, then sidelobe leakage is reduced, but the computational complexity increases
Solution Approach 1:
The patent introduces the port-to-antenna mapping matrix as an intermediary element that connects the source codebook and target codebook. This intermediary structure enables reduced sidelobe leakage by aligning radiation patterns while managing computational complexity through the structured derivation process from predefined codebooks.
Data Source
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AI summary
Apparatuses and methods for port-to-antenna mapping in a virtualized Active Antenna System (AAS) are provided. In one embodiment, a method for a radio node includes determining a source codebook associated with at least one antenna port; determining a target codebook associated with at least one physical antenna; and determining a port-to-antenna mapping matrix based at least in part on the determined source codebook and the determined target codebook.