RU Segment Parser Design for Multi-RU Aggregation in EHT Systems
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Solution Overview
Problem
Next-generation extreme high-throughput (EHT) wireless systems face challenges in optimizing resource unit (RU) and segment parser design for aggregated and multi-RU operations, particularly in improving spectral efficiency and system performance across various bandwidths.
Innovation Solution
The proposed solution involves a method for optimizing RU and segment parser design by coding data for a station (STA) to process coded bits in a proportional round-robin fashion across multiple RUs, approximating proportional ratios of integers representing RU sizes, and allocating coded bits accordingly to enhance transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple RUs are assigned to a single STA to improve spectral efficiency, then spectral efficiency is improved, but the complexity of RU and segment parser design increases
Solution Approach 1:
The patent divides the coded bit stream into multiple segments that are distributed across multiple RUs. The segment parser divides the input bit stream into N segments where N is the number of RUs, and each segment is mapped to a specific RU. This segmentation approach enables efficient multi-RU operations while maintaining manageable parser complexity through structured division of the data flow.
Solution Approach 2:
The patent implements dynamic RU allocation and segment parsing where the number of segments and their distribution across RUs can be adjusted based on system conditions. The parser dynamically adapts to different RU configurations and bandwidths, allowing the system to optimize spectral efficiency for various multi-RU scenarios without requiring completely different parser designs for each configuration.
2Productivity
If wider bandwidths (240 MHz and 320 MHz) are used to improve system performance, then system performance is improved, but the complexity of processing and parsing increases
Solution Approach 1:
The patent applies segmentation by dividing the wide bandwidth into multiple 80 MHz segments, where each segment can be independently processed and mapped to appropriate RUs. This hierarchical segmentation (bandwidth into segments, bit stream into segments) reduces processing complexity by breaking down the large-scale problem into manageable sub-problems that can be handled separately and then combined.
Solution Approach 2:
The patent introduces a new dimension of organization by mapping bit segments to RUs based on both frequency domain segmentation and time-domain scheduling. This multi-dimensional approach allows the system to handle wider bandwidths by adding structural organization layers rather than simply increasing processing power, thereby managing complexity through dimensional decomposition.
3Productivity
If coded bits are parsed to multiple RUs in proportional round-robin fashion, then data distribution efficiency is improved, but the parsing algorithm complexity increases
Solution Approach 1:
The patent implements periodic round-robin parsing where segments are distributed to RUs in a repeating cyclic pattern. This periodic action simplifies the parsing algorithm by using modular arithmetic (index modulo number of RUs) to determine segment-to-RU mapping, rather than requiring complex proportional calculations for each segment. The periodic nature maintains good load distribution while keeping the algorithm simple and efficient.
Data Source
AI summary
A method pertaining to optimization of resource unit (RU) and segment parser design for aggregated and multi-RU operations in extreme high-throughput (EHT) systems involves coding data for a station (STA) to provide a stream of coded bits. The method also involves processing the stream of coded bits to provide processed bits, including parsing the stream of coded bits to a combination of multiple RUs assigned to the STA in a proportional round-robin fashion. The method further involves transmitting the processed bits to the STA over the combination of multiple RUs.