NOMA System Performance Improvement Using Chaos and Deep Learning

IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Circuits and Systems I: Regular Papers Pub Date : 2024-08-02 DOI:10.1109/tcsi.2024.3431470
Hui-Ping Yin, Hai-Peng Ren
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利用混沌和深度学习提高 NOMA 系统性能
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来源期刊
IEEE Transactions on Circuits and Systems I: Regular Papers
IEEE Transactions on Circuits and Systems I: Regular Papers 工程技术-工程:电子与电气
CiteScore
9.80
自引率
11.80%
发文量
441
审稿时长
2 months
期刊介绍: TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.
期刊最新文献
Table of Contents IEEE Circuits and Systems Society Information TechRxiv: Share Your Preprint Research with the World! IEEE Transactions on Circuits and Systems--I: Regular Papers Information for Authors Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems—ISICAS 2024
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