Overview on Intelligent Wireless Resource Management of Millimeter Wave Communications under High-speed Railway

YAN Li; FANG Xuming; LI Yi; XUE Qing

doi:10.11999/JEIT220923

Volume 45 Issue 8

Aug. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(8): 2806-2817

YAN Li, FANG Xuming, LI Yi, XUE Qing. Overview on Intelligent Wireless Resource Management of Millimeter Wave Communications under High-speed Railway[J]. Journal of Electronics & Information Technology, 2023, 45(8): 2806-2817. doi: 10.11999/JEIT220923

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YAN Li, FANG Xuming, LI Yi, XUE Qing. Overview on Intelligent Wireless Resource Management of Millimeter Wave Communications under High-speed Railway[J]. Journal of Electronics & Information Technology, 2023, 45(8): 2806-2817. doi: 10.11999/JEIT220923

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Overview on Intelligent Wireless Resource Management of Millimeter Wave Communications under High-speed Railway

doi: 10.11999/JEIT220923

YAN Li¹,
FANG Xuming^{1
,
,},
LI Yi²,
XUE Qing³

1.
School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China
2.
China Academy of Railway Sciences, Beijing 100081, China
3.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (U1834210, 62071393, 62101460, 62001071)

Received Date: 2022-07-07
Rev Recd Date: 2022-09-19

Available Online: 2022-09-21

Publish Date: 2023-08-21

Abstract

Abstract

To satisfy the new requirements brought by the intelligent development of high-speed railways, future railway mobile networks based on the Fifth Generation (5G) wireless technologies will apply broadband millimeter wave bands to enhance the transmission capability. Therefore, in this paper, considering the transmission requirements and scenario characteristics of high-speed railways, the problems of millimeter wave communications in network coverage robustness, mobility support capability, link stability and management are analyzed. Then, to guarantee the network coverage while improving the transmission capacity, future high-speed railway wireless network architecture based on the integration of conventional sub-6 GHz and millimeter wave bands is discussed, where the omni-directional sub-6 GHz bands provide robust coverage, and the directional millimeter wave communications improve transmission rate. Finally, under this network architecture, this paper investigates how to employ deep learning algorithms to predict the service characteristics and propagation environments, and make decisions for radio resource allocation, beam alignment, and handover optimization for sub-6 GHz and millimeter wave bands, to realize eventually the high reliability, low latency, and large capacity for the future high-speed railway mobile systems.
- High-speed railway,
- Mobile communication,
- Artificial intelligence,
- Network architecture,
- Resource management

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References(55)

References

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