Parallel Column Twist Interleaving With Barrel-Shifter Memory Layout
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Solution Overview
Problem
Conventional interleaving methods in communication solutions are costly and inefficient, particularly for high-throughput applications.
Innovation Solution
The implementation of parallel column twist interleaving, which involves an interleaving matrix and specific circuitry components like a barrel shifter, memory arrays, and control circuitry to cyclically shift data units, allowing for efficient interleaving of data units by processing them column by column and reading them row by row, with parameters such as N, Nr, and Tc determining the interleaving process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional interleaving methods are used, then data interleaving can be achieved, but hardware cost increases and efficiency decreases
Solution Approach 1:
The interleaving process is divided into multiple parallel columns, where each column processes data independently. The input data stream is segmented into N parallel streams that are processed simultaneously through separate column units, achieving high-throughput interleaving without requiring a single complex sequential processor.
Solution Approach 2:
The patent transforms the traditional one-dimensional sequential interleaving approach into a two-dimensional parallel processing structure. Data is arranged in an N×M matrix where N represents the number of parallel columns and M represents the number of rows, enabling simultaneous processing across multiple dimensions.
2Speed
If conventional interleaving methods are used, then data interleaving can be achieved, but processing speed decreases due to sequential operations
Solution Approach 1:
Multiple column processing units are merged into a single parallel processing system that handles N columns simultaneously. The patent combines several simple column processors into one integrated structure that achieves the processing power of N sequential processors while using less hardware resources.
Solution Approach 2:
The system dynamically configures the number of parallel columns (N) and rows (M) based on the required throughput and data length. This dynamic adaptability allows the interleaver to optimize processing speed for different application scenarios without requiring multiple fixed-configuration hardware designs.
Data Source
AI summary
Systems and methods are provided for parallel column twist interleaving. Parallel bit-interleaving with column twist may be applied to an input bitstream based on one or more interleaving parameters. Bits in the input bitstream may be read, in sets having size based on a first interleaving parameter, and may then be processed based on a second interleaving parameter. The processing may comprise applying a shift to a combination of bits that include a current bit set and additional bits corresponding to previously processed bit sets and/or pre-set bits. The shift may be determined based on a column twist associated with the current corresponding. Bits generated based on processing in current and/or previous cycles may be stored into memory, and bits may be read from the memory, based on a third interleaving parameter, for generating an output interleaved bitstream.