Robotics & Machine Learning Daily News2024,Issue(Jun.12) :26-26.

Researchers’ Work from Xi’an University of Technology Focuses on Machine Learnin g (Adaptive Modulation Scheme for Soft-Switching Hybrid FSO/RF Links Based on Machine Learning)

西安理工大学的研究人员致力于机器学习(基于机器学习的软交换混合fso/rf链路自适应调制方案)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :26-26.

Researchers’ Work from Xi’an University of Technology Focuses on Machine Learnin g (Adaptive Modulation Scheme for Soft-Switching Hybrid FSO/RF Links Based on Machine Learning)

西安理工大学的研究人员致力于机器学习(基于机器学习的软交换混合fso/rf链路自适应调制方案)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-关于人工智能的新研究结果已经发表。根据NewsRx记者在中华人民共和国西安的新闻报道,研究表明,"自由空间光学(FSO)和射频(RF)混合通信系统被认为是在频谱利用率和高速传输之间取得良好平衡的有效途径"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on artificial intelligence have been published. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “A hybrid free-space optical (FSO) and radio frequency (RF) communication system has been considered an effective way to obtain a good trade-off between spectrum utilization efficiency and high-rate transmission.”

Key words

Xi'an University of Technology/Xi'an/People's Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Mac hine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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