DFT Tone Decomposition Across Antenna Ports With Balanced Group Sizes
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Solution Overview
Problem
Current wireless communication technologies, such as LTE and NR, face challenges in efficiently managing discrete Fourier transform (DFT) size decomposition for multiple antenna ports, leading to improper balancing of decomposition group sizes and reduced transmission throughput due to interference and power imbalances.
Innovation Solution
A method and apparatus for determining and mapping tones into decomposition groups based on specific size constraints and balancing criteria, ensuring each group's size satisfies the DFT block size and balancing criteria, thereby optimizing transmission processing across multiple antenna ports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If DFT size decomposition is performed for multiple antenna ports, then transmission capacity is increased, but decomposition group size imbalance occurs leading to interference and power imbalances
Solution Approach 1:
The patent segments the DFT block into multiple decomposition groups corresponding to different antenna ports. Each group is assigned a specific size that satisfies both the overall DFT block size requirement and individual size constraints. This segmentation approach enables parallel processing across multiple antenna ports while maintaining controlled group sizes to prevent interference and power imbalances.
Solution Approach 2:
The patent applies local quality by imposing specific size constraints on each decomposition group individually. Each group's size is optimized according to local requirements (antenna port characteristics) while contributing to the global DFT block size. This allows tailored processing for each antenna port, ensuring balanced power distribution and minimizing interference between ports.
2Productivity
If decomposition group sizes are increased to improve processing efficiency, then throughput is enhanced, but interference and power imbalances worsen
Solution Approach 1:
The patent changes the size parameter of decomposition groups to optimize the balance between processing efficiency and interference control. By carefully selecting group sizes that satisfy specific constraints, the system achieves efficient parallel processing while preventing excessive interference and power imbalances that would occur with uniformly large groups.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine, based at least in part on a decomposition rule for a discrete Fourier transform (DFT) block, a plurality of decomposition groups for tones, corresponding to a plurality of antenna ports of the UE, of a transmission. The UE may map the tones to the plurality of decomposition groups for transmission processing, and transmit, using the plurality of antenna ports, the transmission based at least in part on transmission processing. Numerous other aspects are provided.