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Related Experiment Video

Updated: Dec 17, 2025

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Design of a Labeling Scheme for 32-QAM Delayed Bit-Interleaved Coded Modulation.

Zhe Zhang¹, Liang Zhou¹, Junyi Du²

¹National Key Lab on Communication, University of Electronic Science and Technology of China, Chengdu 611731, China.

Sensors (Basel, Switzerland)

|June 26, 2020

Summary

Designing effective labeling schemes for 32-QAM delayed bit-interleaved coded modulation (DBICM) is difficult. This study proposes criteria and a search algorithm to achieve high DBICM channel capacity, approaching 32-QAM capacity.

Keywords:

bit-interleaved coded modulation delayed bit-interleaved coded modulation depth-first search algorithm gray labeling

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Last Updated: Dec 17, 2025

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Published on: February 6, 2014

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Generation and Coherent Control of Pulsed Quantum Frequency Combs

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Area of Science:

Digital Communications
Information Theory
Modulation Schemes

Background:

Designing capacity-approaching labeling schemes for large constellations like 32-QAM in delayed bit-interleaved coded modulation (DBICM) presents significant challenges.
Optimizing labeling schemes is crucial for maximizing channel capacity in advanced digital modulation techniques.

Purpose of the Study:

To investigate and design optimal labeling schemes for 32-QAM DBICM systems.
To achieve labeling schemes that closely approach the theoretical channel capacity of 32-QAM.

Main Methods:

A systematic search for optimal labeling schemes was conducted for 32-QAM DBICM.
Novel criteria for effective labeling were proposed to reduce the search space.
A three-step search algorithm was developed for efficient candidate labeling identification.

Main Results:

The proposed labeling scheme for 32-QAM DBICM demonstrates near-capacity performance.
The system achieved performance within 0.015 dB of 32-QAM capacity.
High information rates exceeding 2.5 bits/symbol were attained.

Conclusions:

The developed criteria and search algorithm effectively identify high-performance labeling schemes for DBICM.
The proposed labeling scheme significantly enhances the efficiency of 32-QAM DBICM systems.
This research contributes to achieving near-theoretical capacity in complex digital modulation schemes.