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Mobility support for millimeter wave communications: opportunities and challenges

Mobility support for millimeter wave communications: opportunities and challenges
Mobility support for millimeter wave communications: opportunities and challenges
Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applications. To address these problems, we conduct a survey of the opportunities and technologies to support mmWave communications in mobile scenarios. Firstly, we summarize the mobile scenarios where mmWave communications are exploited, including indoor wireless local area network (WLAN) or wireless personal area network (WPAN), cellular access, vehicle-to-everything (V2X), high speed train (HST), unmanned aerial vehicle (UAV), and the new space-air-ground-sea communication scenarios. Then, to address users' mobility impact on the system performance in different application scenarios, we introduce several representative mobility models in mmWave systems, including human mobility, vehicular mobility, high speed train mobility and ship mobility. Next we survey the key challenges and existing solutions to mmWave applications, such as channel modeling, channel estimation, anti-blockage, and capacity improvement. Lastly, we discuss the open issues concerning mobility-aware mmWave communications that deserve further investigation. In particular, we highlight future heterogeneous mobile networks, dynamic resource management, artificial intelligence (AI) for mobility and integration of geographical information, deployment of large intelligent surface and reconfigurable antenna technology, and finally, the evolution to Terahertz (THz) communications.
1553-877X
Li, Jing
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Niu, Yong
1e9137e1-87f3-4e65-b0e2-806a2f249b4a
Wu, Hao
8d0e3477-dc5a-4ce8-8121-991ad1bbb48d
Ai, Bo
fc1b180d-18e5-4446-b181-c8d0dd25d14b
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Feng, Zhiyong
bc023e8d-04ea-4a9a-b8a7-f67b432a4bce
Zhong, Zhangdui
f11c8f1e-7375-4284-bb2f-9dbe2b573ea9
Wang, Ning
12c074fb-be39-46a1-b3b1-670e6e57c16c
Li, Jing
12d3e307-c01d-4e6a-aaa8-46935bb8d6cb
Niu, Yong
1e9137e1-87f3-4e65-b0e2-806a2f249b4a
Wu, Hao
8d0e3477-dc5a-4ce8-8121-991ad1bbb48d
Ai, Bo
fc1b180d-18e5-4446-b181-c8d0dd25d14b
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Feng, Zhiyong
bc023e8d-04ea-4a9a-b8a7-f67b432a4bce
Zhong, Zhangdui
f11c8f1e-7375-4284-bb2f-9dbe2b573ea9
Wang, Ning
12c074fb-be39-46a1-b3b1-670e6e57c16c

Li, Jing, Niu, Yong, Wu, Hao, Ai, Bo, Chen, Sheng, Feng, Zhiyong, Zhong, Zhangdui and Wang, Ning (2022) Mobility support for millimeter wave communications: opportunities and challenges. IEEE Communications Surveys & Tutorials. (In Press)

Record type: Article

Abstract

Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applications. To address these problems, we conduct a survey of the opportunities and technologies to support mmWave communications in mobile scenarios. Firstly, we summarize the mobile scenarios where mmWave communications are exploited, including indoor wireless local area network (WLAN) or wireless personal area network (WPAN), cellular access, vehicle-to-everything (V2X), high speed train (HST), unmanned aerial vehicle (UAV), and the new space-air-ground-sea communication scenarios. Then, to address users' mobility impact on the system performance in different application scenarios, we introduce several representative mobility models in mmWave systems, including human mobility, vehicular mobility, high speed train mobility and ship mobility. Next we survey the key challenges and existing solutions to mmWave applications, such as channel modeling, channel estimation, anti-blockage, and capacity improvement. Lastly, we discuss the open issues concerning mobility-aware mmWave communications that deserve further investigation. In particular, we highlight future heterogeneous mobile networks, dynamic resource management, artificial intelligence (AI) for mobility and integration of geographical information, deployment of large intelligent surface and reconfigurable antenna technology, and finally, the evolution to Terahertz (THz) communications.

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Accepted/In Press date: 10 May 2022

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Local EPrints ID: 457619
URI: http://eprints.soton.ac.uk/id/eprint/457619
ISSN: 1553-877X
PURE UUID: e2ab6dc3-b5e4-45b4-bcd1-5729c680d086

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Date deposited: 14 Jun 2022 16:43
Last modified: 14 Jun 2022 16:43

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Contributors

Author: Jing Li
Author: Yong Niu
Author: Hao Wu
Author: Bo Ai
Author: Sheng Chen
Author: Zhiyong Feng
Author: Zhangdui Zhong
Author: Ning Wang

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