摘要
The development of cooperative intelligent transportation systems brings new challenges to wireless communication technologies, where the channel estimation becomes more and more important. In this paper, a novel data-driven channel estimation method based on deep learning framework is adopted. Based on the feedforward neural network, the VNET neural network based on the convolutional neural network is proposed. The simulations and practical measurements are also provided to verify the performance advantages. The results show the achieved performance advantages of the proposed VNET-based method, which is shown to be an effective solution.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3 |
| 主期刊副标题 | Systems |
| 编辑 | Qilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang |
| 出版商 | Springer Verlag |
| 页 | 184-192 |
| 页数 | 9 |
| ISBN（印刷版） | 9789811365072 |
| DOI | |
| 出版状态 | 已出版 - 2020 |
| 已对外发布 | 是 |
| 活动 | International Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, 中国 期限: 14 7月 2018 → 16 7月 2018 |
出版系列
| 姓名 | Lecture Notes in Electrical Engineering |
|---|---|
| 卷 | 517 |
| ISSN（印刷版） | 1876-1100 |
| ISSN（电子版） | 1876-1119 |
会议
| 会议 | International Conference on Communications, Signal Processing, and Systems, CSPS 2018 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Dalian |
| 时期 | 14/07/18 → 16/07/18 |
指纹
探究 'Deep learning-based v2v channel estimations using VNETs' 的科研主题。它们共同构成独一无二的指纹。引用此
Song, Q., Lan, T., Tian, X., & Zhang, T. (2020). Deep learning-based v2v channel estimations using VNETs. 在 Q. Liang, X. Liu, Z. Na, W. Wang, J. Mu, & B. Zhang (编辑), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 3: Systems (页码 184-192). (Lecture Notes in Electrical Engineering; 卷 517). Springer Verlag. https://doi.org/10.1007/978-981-13-6508-9_24