Robotics & Machine Learning Daily News2024,Issue(Jun.7) :4-5.

Data on Machine Learning Reported by Researchers at Chongqing University (Reconf igurable Intelligent Surface Assisted Nonorthogonal Multiple Access Network Bas ed On Machine Learning Approaches)

重庆大学研究人员报告的机器学习数据(基于机器学习方法的可重构智能表面辅助非正交多址网络)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :4-5.

Data on Machine Learning Reported by Researchers at Chongqing University (Reconf igurable Intelligent Surface Assisted Nonorthogonal Multiple Access Network Bas ed On Machine Learning Approaches)

重庆大学研究人员报告的机器学习数据(基于机器学习方法的可重构智能表面辅助非正交多址网络)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx编辑对重庆的新闻报道,研究表明:“在即将到来的第五代以后的(B5G)中,有限的频谱资源难以满足对高网络容量和众多接入设备的巨大需求,非正交多ACC(NOMA)能够在多个用户之间共享同一频谱资源,为提高频谱效率提供了一种有效的方法。作为下一代多址(NGMA)的有力候选者。本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Chongqing, People’s Republic of China, by NewsRx editors, research stated, “In the upcoming beyond fifth-gen eration (B5G), the surging demand on high network capacity and numerous access d evices can hardly be satisfied by the scarce spectrum resources. Capable of shar ing the same spectrum resource among multiple users, non-orthogonal multiple acc ess (NOMA) provides an efficient method to enhance the spectrum efficiency, serv ing as a strong candidate for next generation multiple access (NGMA).” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Chongqing/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Chongqing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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