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Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings

Research Article

An Open Source Wireless Communication Database for Radio Access Network

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-47359-3_5,
        author={Yanzan Sun and Shengyu Gao and Jun Yu and Yanyu Huang and Shunqin Zhang and Xiaojing Chen and Ming Gan},
        title={An Open Source Wireless Communication Database for Radio Access Network},
        proceedings={Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings},
        proceedings_a={INISCOM},
        year={2023},
        month={10},
        keywords={Wireless communication Database OAI platform},
        doi={10.1007/978-3-031-47359-3_5}
    }
    
  • Yanzan Sun
    Shengyu Gao
    Jun Yu
    Yanyu Huang
    Shunqin Zhang
    Xiaojing Chen
    Ming Gan
    Year: 2023
    An Open Source Wireless Communication Database for Radio Access Network
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-47359-3_5
Yanzan Sun1, Shengyu Gao1,*, Jun Yu1, Yanyu Huang1, Shunqin Zhang1, Xiaojing Chen1, Ming Gan2
  • 1: Shanghai University
  • 2: Xintu (Wuxi) New Energy Technology Co. LTD.
*Contact email: gaolegao@shu.edu.cn

Abstract

The research and development of wireless communication technology is inseparable from the support of experimental dataset. This paper first provides an open source multi-dimensional high-precision database of wireless communication signaling data based on the OAI platform, which can build actual communication scenarios to ensure that the dataset in this database is authentic and reliable. Second, we improve the time precision of this dataset to the millisecond level and realize multi-dimensional wireless communication signaling data collection at both of the physical layer and MAC layer, which can provide a more comprehensive and high-precision data foundation for wireless communication research. Finally, our database is applied for supporting two applications, i.e. RAN slice resource prediction and video bit rate adaptive adjustment, respectively. The experiment results show that our proposed database performs better for supporting the RAN slice resource prediction and video bit rate adaptive adjustment compared with other existing databases.

Keywords
Wireless communication Database OAI platform
Published
2023-10-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-47359-3_5
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