Adaptive constellation scheme for QAM using unsupervised learning

IF 0.7 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Electronics Letters Pub Date : 2024-11-14 DOI:10.1049/ell2.70086
Yeonsoo Jang
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Abstract

This letter proposes an adaptive constellation scheme that uses an optimal constellation according to the signal-to-noise ratio. An efficient decision method based on unsupervised learning is proposed to ensure satisfactory error performance of the adaptive constellation scheme. Upon verification, the proposed scheme is found to exhibit improved error performance, compared to the fixed constellation scheme.

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利用无监督学习的 QAM 自适应星座方案
这封信提出了一种自适应星座方案,根据信噪比使用最佳星座。文中提出了一种基于无监督学习的高效决策方法,以确保自适应星座方案具有令人满意的误差性能。经过验证,发现与固定星座方案相比,所提方案的误差性能有所改善。
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来源期刊
Electronics Letters
Electronics Letters 工程技术-工程:电子与电气
CiteScore
2.70
自引率
0.00%
发文量
268
审稿时长
3.6 months
期刊介绍: Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO
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