Energy-efficient and high-spectrum-efficiency wireless transmission

Tang, Yajuan; Lai, Shiwei; Zhang, Zhao; Rao, Yanyi; Zhou, Wen; Zhu, Fangyuan; Chen, Liming; Deng, Dan; Wang, Jing; Tao, Cui; Zhang, Yuwei; Li, Jun; Wu, Di; Liu, Zhusong; Huang, Huang; Zhou, Xuan; Wang, Zhao; Li, Chao; Chen, Kai; Zhou, Wei; Li, Yun; Dube, Kaimeno; Muazu, Abbarbas; Rono, Nakilavai; Feng, Sunli; Qin, Jiayin; Xiang, Haige; Cao, Zhang; Zeng, Lieguang; Yang, Zhixing

doi:10.4108/eetmca.v7i2.2417

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…With the deployment of various intelligent edge devices, people began to pay attention to the landing of intelligent edge technology and how to solve the pain points of the industry [16][17][18]. In this process, how to make the edge more intelligent, and how to deploy intelligence to the "last mile" of the industry play an important role in the future network design.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

Tang

Lai

Rao

et al. 2022

EAI Endorsed Trans Mob Com Appl

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With the deployment and commercialization of the fifth-generation (5G) mobile communication network, the access nodes and data volume of wireless network show a massive and blowout growth trend. Taking beyond 5G (B5G) edge intelligent network as the research object, based on the deep integration of storage / computing and communication, this paper focuses on the theory and key technology of system intelligent transmission, so as to effectively support the related applications of B5G edge intelligent network in the future. This paper analyzes the research status of data storage, studies the real field distributed storage computing system, and designs the corresponding flashback shift code and error correction scheme with low storage space overhead.

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Section: Introductionmentioning

confidence: 99%

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

Tang

Lai

Rao

et al. 2022

EAI Endorsed Trans Mob Com Appl

Self Cite

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English Listening Teaching Mode under Artificial Intelligence Speech Synthesis Technology

Yu,

Wu,

et al. 2023

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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To discuss the application of artificial intelligence (AI) speech synthesis technology and wireless network technology in English listening teaching, firstly, the present situation of English listening teaching is analyzed. Secondly, a questionnaire is designed to investigate the feasibility of AI speech synthesis technology in English listening teaching. Finally, the control group (a traditional mode of English listening teaching) and experimental group (AI speech synthesis technology) are set up, compared, and analyzed. The survey shows that for natural fluency, speech synthesis has the lowest score. The textbook audio score is the highest, with an average score of 4.23. According to the mean opinion score (MOS), the AI speech synthesis technology belongs to high-quality speech coding. Therefore, the English audio generated by combining AI speech synthesis technology under wireless network technology also has high quality. Meanwhile, 113 people in the survey consider that the clear articulation of the synthesized audio is full marks, which is clearer than the English audio matching the textbook, indicating that students think the English audio of the supporting textbook is poor in the clear articulation, which affects students’ listening. Moreover, the English listening scores of the experimental group are notably better than those of the control group. It is hoped that the traditional teaching mode can be better integrated with wireless networks and AI technology, thereby improving the clarity of English listening, providing mobile learning, and advancing students' English performance and learning efficiency.

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Energy-efficient and high-spectrum-efficiency wireless transmission

Cited by 2 publications

References 9 publications

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

Intelligent Distributed Data Storage for Wireless Communications in B5G Networks

English Listening Teaching Mode under Artificial Intelligence Speech Synthesis Technology

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