Unified MRU Segment Parser for Multi-Band Data Distribution
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Solution Overview
Problem
The distribution of bit streams from an upstream functional block to multiple frequency segments is challenging for large size MRUs in the IEEE 802.11be standard, leading to complications in silicon area and congestion, and prohibiting a unified design across different MRU sizes.
Innovation Solution
A unified segment parser architecture with a counter or finite state machine (FSM) and rate matching buffer is employed to track data subcarrier allocation patterns and balance throughput, simplifying the logic and reducing silicon area, while supporting efficient distribution of data bits across frequency segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a unified segment parser architecture is used for all MRU sizes, then device complexity is reduced and silicon area is minimized, but the ability to handle large size MRUs spanning multiple frequency bands becomes challenging
Solution Approach 1:
The segment parser divides the frequency spectrum into multiple segments (e.g., 80 MHz segments) and processes each segment independently through separate LDPC tone mappers. This segmentation allows the unified architecture to handle large size MRUs spanning multiple frequency bands by distributing the processing load across multiple parallel segments, thereby maintaining low complexity while achieving high adaptability.
Solution Approach 2:
The segment parser is designed with a universal architecture that can handle both small size MRUs (single frequency band) and large size MRUs (multiple frequency bands) using the same basic components. The controller and rate matching buffer are configured to adaptively distribute data streams to multiple frequency segments based on the MRU size, eliminating the need for separate dedicated architectures for different MRU types.
2Productivity
If data streams are distributed to multiple frequency segments for large size MRUs, then spectrum utilization efficiency is improved, but silicon area and congestion increase
Solution Approach 1:
The patent merges the functionality of multiple segment parsers into a single unified segment parser that can handle multiple frequency segments simultaneously. By combining the control logic and rate matching buffer into shared resources rather than duplicating them for each segment, the design achieves efficient spectrum utilization across multiple frequency bands while minimizing silicon area consumption.
Solution Approach 2:
The design transitions from a one-dimensional single-segment approach to a multi-dimensional approach where the segment parser operates across multiple frequency segments in parallel. The controller manages data distribution across these dimensions using a rate matching buffer, enabling efficient spectrum utilization without requiring proportional increases in silicon area for each additional segment.
3Manufacturing precision
If rate matching buffer is used to balance data throughput, then data distribution accuracy is improved, but device complexity increases
Solution Approach 1:
The rate matching buffer serves as an intermediary element between the stream parser and the LDPC tone mappers. It temporarily stores and buffers data streams, allowing the controller to accurately distribute data to multiple frequency segments according to their specific requirements. This intermediary buffer enables precise data distribution without requiring complex real-time scheduling logic, thereby improving accuracy while limiting complexity increase.
Data Source
AI summary
Embodiments of a segment parser, a wireless transmitter, and a method for operating a segment parser are disclosed. In an embodiment, a segment parser includes a controller configured to track a data subcarrier allocation pattern of a multiple resource unit (MRU) and a rate matching buffer configured to balance data throughput based on the data subcarrier allocation pattern of the MRU.