Parallel Column Twist Interleaving With Matrix-Based Bit Processing
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Solution Overview
Problem
Conventional interleaving methods in communication solutions are costly and inefficient, particularly for high-throughput applications, lacking effective and economical solutions for parallel data processing.
Innovation Solution
The implementation of parallel column twist interleaving using an interleaving matrix with specific parameters and circuitry, including a barrel shifter, memory arrays, and control circuitry, to efficiently process and interleave data by cyclically shifting columns and reading data in a ping-pong fashion, optimizing interleaving operations based on standards and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional interleaving methods are used, then data interleaving can be performed, but hardware cost and complexity increase
Solution Approach 1:
The interleaving operation is segmented into column-wise writing and row-wise reading phases, with the interleaving matrix divided into multiple columns that can be processed independently. This segmentation allows parallel processing and reduces the complexity of control circuitry while maintaining the interleaving function.
Solution Approach 2:
An interleaving matrix serves as an intermediary structure between the input data stream and the output interleaved stream. The matrix acts as a buffer that decouples the writing and reading operations, allowing simple column-write/row-read circuitry to achieve complex interleaving patterns without requiring expensive dedicated interleaving logic.
2Productivity
If conventional interleaving methods are used, then data can be interleaved, but processing efficiency decreases
Solution Approach 1:
Data is written into the interleaving matrix in advance (column-wise filling) before being read out (row-wise extraction). This preliminary action allows the interleaving computation to be prepared ahead of time, enabling high-speed readout without complex real-time calculation, thus improving throughput and reducing processing delay.
Solution Approach 2:
The interleaving matrix enables continuous operation by maintaining separate write and read pointers that can operate independently. While data is being read out in one pattern, new data can continuously be written in another pattern, ensuring the interleaving operation never stalls and maintains high processing efficiency.
3Productivity
If high throughput interleaving is implemented, then data processing speed increases, but hardware cost increases
Solution Approach 1:
Multiple interleaving operations are merged into a single matrix structure that handles all data streams simultaneously. By combining the interleaving function with the buffering function in one structure, the patent achieves high throughput without proportionally increasing hardware cost, as the same matrix cells serve multiple purposes.
Solution Approach 2:
The patent transitions from one-dimensional sequential interleaving to two-dimensional matrix-based interleaving, where data is organized in rows and columns. This dimensional change enables parallel access patterns and high throughput operations while using a relatively simple and cost-effective matrix structure instead of complex high-speed sequential logic.
Data Source
AI summary
Systems and methods are provided for enhanced parallel bit-interleaving. The parallel bit-interleaving may include, in each of a plurality of cycles, reading a number of bits from an input bitstream; processing the read bits, with the processing including applying a first adjustment to a first combination of bits that includes the read bits and additional bits, wherein each of the additional bits includes a previously read bit in the input bitstream or a pre-set bit; when one or more conditional criteria are met, applying a second adjustment to a second combination of bits that includes bits corresponding to previously read bits, wherein the conditional criteria include completing processing of a full column; writing into memory a number of bits corresponding to the first combination of bits and/or the second combination of bits; and reading from the memory a number of bits, for generating an output corresponding to the particular cycle.