1024 QAM Interleaver for HEW WLAN Error Correction
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Solution Overview
Problem
Existing wireless local-area networks (WLANs) face challenges in efficiently utilizing resources to provide bandwidth and response times, especially when operating with both new and legacy protocols, and suffer from data errors that can be exacerbated by different transmission methods.
Innovation Solution
The implementation of 1024 quadrature amplitude modulation (QAM) with binary convolutional codes (BCC) and specific interleaver configurations in high-efficiency wireless local-area networks (HEWs), allowing for improved error correction and resource allocation through orthogonal frequency division multiple access (OFDMA) techniques, enabling better performance compared to traditional 64 QAM with adjusted channel codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If 1024 QAM modulation is used to improve spectral efficiency, then bandwidth utilization improves, but error rate increases
Solution Approach 1:
The encoded data is divided into multiple segments and interleaved across different OFDM symbols and subcarriers. This segmentation distributes errors across multiple code blocks, enabling the convolutional decoder to correct errors more effectively while maintaining high spectral efficiency through 1024 QAM modulation.
Solution Approach 2:
Binary convolutional codes are applied preliminarily to the data before modulation and transmission. This preliminary error correction encoding prepares the data to withstand the higher error rates inherent in 1024 QAM, allowing the system to achieve high spectral efficiency without sacrificing reliability.
2Productivity
If higher modulation orders like 1024 QAM are used to improve data rate, then productivity improves, but device complexity increases
Solution Approach 1:
The system changes the modulation parameter from traditional 64 QAM to 1024 QAM, increasing the number of constellation points from 6 to 10. This parameter change enables higher data rates by transmitting more bits per symbol, while the accompanying interleaving and coding schemes manage the increased complexity.
3Adaptability or versatility
If traditional interleaver configurations are used with 1024 QAM, then compatibility is maintained, but error correction performance deteriorates
Solution Approach 1:
The interleaver configuration is made dynamic and adaptable to the specific requirements of 1024 QAM transmission. Rather than using fixed traditional configurations, the system employs interleaver parameters (such as interleaver depth and pattern) that are optimized for high-order modulation, allowing both compatibility with existing frameworks and improved error correction performance.
Data Source
AI summary
A high-efficiency wireless local-area network (HEW) device including physical layer and medium access control layer circuitry is disclosed. The physical layer and medium access control layer circuitry may be configured to encode data with a binary convolutional code (BCC) to generate encoded data, and interleave the encoded data in accordance with one of a plurality of interleaver configurations for one of a predetermined number of data subcarriers to generate interleaved encoded data. The physical layer and medium access control layer circuitry may be further configured to map the interleaved encoded data with a quadrature amplitude modulation (QAM) greater than 256 QAM onto longer-duration orthogonal frequency division multiplexed (OFDM) symbols, and transmit the longer-duration OFDM symbols on channel resources in accordance with an orthogonal frequency division multiple access (OFDMA) technique. The channel resources may be resource allocations with each resource allocation including the one of the predetermined number of data subcarriers.