Research Article
An Open Source Wireless Communication Database for Radio Access Network
@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
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.
