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Industrial Networks and Intelligent Systems. 10th EAI International Conference, INISCOM 2024, Da Nang, Vietnam, February 20–21, 2024, Proceedings

Research Article

A Survey on Wireless Data Aggregation Through Over-the-Air Computation

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-67357-3_13,
        author={Yejin Lee and Haejoon Jung},
        title={A Survey on Wireless Data Aggregation Through Over-the-Air Computation},
        proceedings={Industrial Networks and Intelligent Systems. 10th EAI International Conference, INISCOM 2024, Da Nang, Vietnam, February 20--21, 2024, Proceedings},
        proceedings_a={INISCOM},
        year={2024},
        month={7},
        keywords={Over-the-air computation (AirComp) wireless data aggregation (WDA) unmanned aerial vehicle (UAV) sensor networks federated learning},
        doi={10.1007/978-3-031-67357-3_13}
    }
    
  • Yejin Lee
    Haejoon Jung
    Year: 2024
    A Survey on Wireless Data Aggregation Through Over-the-Air Computation
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-67357-3_13
Yejin Lee1, Haejoon Jung1,*
  • 1: Department of Electronics and Information Convergence Engineering
*Contact email: haejoonjung@khu.ac.kr

Abstract

In next-generation communications, it is anticipated that accommodating extremely massive access will pose challenges due to the high density of Internet-of-Things (IoT) nodes and the limited wireless resources of traditional wireless data aggregation (WDA) techniques. Unlike the conventional orthogonal multiple access methods, over-the-air computation (Aircomp) allows multiple access over the same resources through the waveform superposition property of wireless channels, thereby supporting highly efficient WDA. This paper addresses the approach of Aircomp and reviews existing research on the wireless applications facilitated by Aircomp.

Keywords
Over-the-air computation (AirComp) wireless data aggregation (WDA) unmanned aerial vehicle (UAV) sensor networks federated learning
Published
2024-07-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-67357-3_13
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