Variable-Row Polar Code Interleaver for Lower BLER Under AWGN
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Solution Overview
Problem
Existing wireless communication networks face challenges in achieving optimal Signal-to-Noise Ratio (SNR) and Block Error Rate (BLER) performance, particularly under Additive White Gaussian Noise (AWGN), due to limitations in traditional interleaver designs for polar codes used in higher-order modulation schemes.
Innovation Solution
A new interleaver design utilizing a right isosceles triangle-shaped or trapezoid-shaped matrix with varying columns between rows, where the number of columns in the first row is set based on the smallest integer P satisfying P*(P+1)/2≥N, is introduced, which feeds coded bits into successive rows and reads them out from columns, reducing complexity and latency while improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional interleaver designs are used for polar codes, then implementation is simpler, but SNR performance and BLER performance are suboptimal
Solution Approach 1:
The interleaver is segmented into multiple rows with different column counts, where each row processes a specific portion of the coded bits. This segmentation allows the system to achieve optimal SNR and BLER performance by distributing bits across varied row structures while maintaining manageable complexity through modular row processing.
Solution Approach 2:
Different rows in the interleaver are assigned different numbers of columns based on local requirements. The first row has a specific number of columns determined by the smallest integer P satisfying P*(P+1)/2≥N, while subsequent rows have varying column counts. This local differentiation optimizes performance for specific bit positions without requiring complete redesign of the entire interleaver structure.
2Productivity
If higher-order modulation schemes are used, then data rate increases, but performance under AWGN deteriorates with traditional interleavers
Solution Approach 1:
The interleaver design dynamically adapts to higher-order modulation schemes by using variable column counts across rows. This dynamic structure allows the interleaver to handle the increased complexity of higher-order modulations while maintaining robust performance under AWGN conditions, enabling both high data rates and reliable transmission.
3Ease of operation
If conventional interleaver structures are used, then implementation is straightforward, but complexity and latency increase
Solution Approach 1:
The number of columns in the first row is predetermined by calculating the smallest integer P that satisfies P*(P+1)/2≥N, where N is the code block length. This preliminary determination simplifies the interleaver construction process and reduces latency by eliminating runtime calculations, while the overall structure remains straightforward to implement.
Data Source
AI summary
Aspects of the disclosure relate to wireless communication devices configured to encode information blocks to produce code blocks and interleave the code blocks utilizing an interleaver including a plurality of rows and a plurality of columns, where the number of columns of the interleaver varies between the rows. In some examples, the interleaver includes a right isosceles triangle-shaped matrix of rows and columns. In other examples, the interleaver includes a trapezoid-shaped matrix of rows and columns.