A novel real-time channel prediction algorithm in high-speed scenario using convolutional neural network-Reference-Cited by-同舟云学术

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A novel real-time channel prediction algorithm in high-speed scenario using convolutional neural network

Published:2022-01-17 Issue:2 Volume:28 Page:621-634
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Xiong Lei,Zhang Zhengyu^ORCID,Yao Dongpin

Funder

Key-Area Research and Development Program of Guangdong Province

NSFC

the royal society newton advanced fellowship

society of the friendly sons of st. patrick for the relief of emigrants from ireland

fundamental research funds for the central universities

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-021-02849-y.pdf

Reference32 articles.

1. Zhou, Y., Pan, Z., Hu, J., Shi, J., & Mo, X. (2011). Broadband wireless communications on high speed trains. In 20th Annual Wireless and Optical Communications Conference (WOCC) (pp. 1-6).

2. Guan, K., Ai, B., Peng, B., et al. (2018). Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band-Part II: Case Study for Paradigm Implementation. IEEE Transactions on Vehicular Technology, 67(10), 9129–9144.

3. Wang, C., Haider, F., Gao, X., et al. (2014). Cellular architecture and key technologies for 5G wireless communication networks. IEEE Communications Magazine, 52(2), 122–130.

4. Wang, S., Guan, K., He, D., et al. (2018). Doppler Shift and Coherence Time of 5G Vehicular Channels at 3.5 GHz. In 2018 IEEE International Symposium on Antennas and Propagation USNC/URSI National Radio Science Meeting (pp. 2005-2006).

5. Nguyen, Q., Luu, T., Pham, L., et al. (2016). Inter-Carrier Interference suppression combined with channel estimation for mobile OFDM system. In 2016 Second Asian Conference on Defence Technology (ACDT) (pp. 61-66).

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