A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence

Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond cellular networks is a promising solution to achieve safe UAV operation as well as enabling diversified applicat...

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Bibliographic Details
Published inIEEE journal on selected areas in communications Vol. 39; no. 10; pp. 2912 - 2945
Main Authors Wu, Qingqing, Xu, Jie, Zeng, Yong, Ng, Derrick Wing Kwan, Al-Dhahir, Naofal, Schober, Robert, Swindlehurst, A. Lee
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text
ISSN0733-8716
1558-0008
DOI10.1109/JSAC.2021.3088681

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Abstract Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond cellular networks is a promising solution to achieve safe UAV operation as well as enabling diversified applications with mission-specific payload data delivery. In particular, 5G networks need to support three typical usage scenarios, namely, enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). On the one hand, UAVs can be leveraged as cost-effective aerial platforms to provide ground users with enhanced communication services by exploiting their high cruising altitude and controllable maneuverability in three-dimensional (3D) space. On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference. Besides the requirement of high-performance wireless communications, the ability to support effective and efficient sensing as well as network intelligence is also essential for 5G-and-beyond 3D heterogeneous wireless networks with coexisting aerial and ground users. In this paper, we provide a comprehensive overview of the latest research efforts on integrating UAVs into cellular networks, with an emphasis on how to exploit advanced techniques (e.g., intelligent reflecting surface, short packet transmission, energy harvesting, joint communication and radar sensing, and edge intelligence) to meet the diversified service requirements of next-generation wireless systems. Moreover, we highlight important directions for further investigation in future work.
AbstractList Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and beyond cellular networks is a promising solution to achieve safe UAV operation as well as enabling diversified applications with mission-specific payload data delivery. In particular, 5G networks need to support three typical usage scenarios, namely, enhanced mobile broadband (eMBB), ultra-reliable low-latency communications (URLLC), and massive machine-type communications (mMTC). On the one hand, UAVs can be leveraged as cost-effective aerial platforms to provide ground users with enhanced communication services by exploiting their high cruising altitude and controllable maneuverability in three-dimensional (3D) space. On the other hand, providing such communication services simultaneously for both UAV and ground users poses new challenges due to the need for ubiquitous 3D signal coverage as well as the strong air-ground network interference. Besides the requirement of high-performance wireless communications, the ability to support effective and efficient sensing as well as network intelligence is also essential for 5G-and-beyond 3D heterogeneous wireless networks with coexisting aerial and ground users. In this paper, we provide a comprehensive overview of the latest research efforts on integrating UAVs into cellular networks, with an emphasis on how to exploit advanced techniques (e.g., intelligent reflecting surface, short packet transmission, energy harvesting, joint communication and radar sensing, and edge intelligence) to meet the diversified service requirements of next-generation wireless systems. Moreover, we highlight important directions for further investigation in future work.
Author Wu, Qingqing
Zeng, Yong
Xu, Jie
Schober, Robert
Swindlehurst, A. Lee
Ng, Derrick Wing Kwan
Al-Dhahir, Naofal
Author_xml – sequence: 1
  givenname: Qingqing
  orcidid: 0000-0002-0043-3266
  surname: Wu
  fullname: Wu, Qingqing
  email: qingqingwu@um.edu.mo
  organization: State Key Laboratory of Internet of Things for Smart City, University of Macau, Taipa, Macau
– sequence: 2
  givenname: Jie
  orcidid: 0000-0002-4854-8839
  surname: Xu
  fullname: Xu, Jie
  email: xujie@cuhk.edu.cn
  organization: Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong (Shenzhen), Shenzhen, China
– sequence: 3
  givenname: Yong
  surname: Zeng
  fullname: Zeng, Yong
  email: yong_zeng@seu.edu.cn
  organization: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
– sequence: 4
  givenname: Derrick Wing Kwan
  orcidid: 0000-0001-6400-712X
  surname: Ng
  fullname: Ng, Derrick Wing Kwan
  email: w.k.ng@unsw.edu.au
  organization: School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
– sequence: 5
  givenname: Naofal
  orcidid: 0000-0001-9894-8382
  surname: Al-Dhahir
  fullname: Al-Dhahir, Naofal
  email: aldhahir@utdallas.edu
  organization: Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX, USA
– sequence: 6
  givenname: Robert
  surname: Schober
  fullname: Schober, Robert
  email: robert.schober@fau.de
  organization: Institute for Digital Communications, Friedrich-Alexander-University Erlangen-Nurnberg, Erlangen, Germany
– sequence: 7
  givenname: A. Lee
  orcidid: 0000-0002-0521-3107
  surname: Swindlehurst
  fullname: Swindlehurst, A. Lee
  email: swindle@uci.edu
  organization: Center for Pervasive Communications and Computing, University of California at Irvine, Irvine, CA, USA
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SSID ssj0014482
Score 2.7020931
Snippet Due to the advancements in cellular technologies and the dense deployment of cellular infrastructure, integrating unmanned aerial vehicles (UAVs) into the...
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ieee
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StartPage 2912
SubjectTerms 5G-and-beyond 3D cellular networks
aerial-terrestrial integration
Broadband
Cellular communication
Cellular networks
Communication
Drones
Energy harvesting
Intelligence
Interference
Maneuverability
Mobile computing
network intelligence
Network latency
Packet transmission
sensing
Sensors
Three-dimensional displays
Unmanned aerial vehicle (UAV)
Unmanned aerial vehicles
Wireless communications
Wireless fidelity
Wireless networks
Wireless sensor networks
Title A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence
URI https://ieeexplore.ieee.org/document/9456851
https://www.proquest.com/docview/2572664073
Volume 39
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