Utilizing Ground Nodes with Multi-Hop Capabilities to Extend the Range of UAV-BSs

被引:2
作者
Adam, Nadir [1 ]
Tapparello, Cristiano [1 ]
Heinzelman, Wendi [1 ]
Yanikomeroglu, Halim [2 ]
机构
[1] Univ Rochester, Dept Elect & Comp Engn, Rochester, NY 14642 USA
[2] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON, Canada
来源
2021 IEEE 4TH 5G WORLD FORUM (5GWF 2021) | 2021年
关键词
VEHICLE BASE STATION; 3-D PLACEMENT; NETWORKS;
D O I
10.1109/5GWF52925.2021.00029
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Due to recent technological advancements in the area of unmanned aerial systems, equipping an unmanned aerial vehicle (UAV) with a base station (BS) has been proposed to augment terrestrial base stations and to enhance the performance of 5G and beyond-5G networks. At the same time, advances in multi-hop ad hoc networks have made these networks feasible for supporting communications when fixed infrastructure is unavailable. In this paper, we examine the benefit of combining these two types of networks, utilizing multi-hop ad hoc networks to augment the coverage achievable by a UAV-BS. In particular, we explore the 3D placement problem for multiple UAV-BSs that maximize the number of covered ground nodes both with and without support of multihop ad hoc ground networks. First we present a mathematical formulation of the single UAV-BS placement problem, then we propose a heuristic algorithm that to the best of our knowledge is the first one in the literature to maximize the number of directly and indirectly covered ground nodes considering nodes with the same as well as with different quality of service (QoS) requirements. Simulation results show the merits of our proposed algorithm regarding utilizing the multi-hop capabilities of the ground nodes in terms of reducing the number of UAV-BSs required to cover the nodes compared to a benchmark algorithm that does not take into account the potential of covering nodes indirectly.
引用
收藏
页码:123 / 129
页数:7
相关论文
共 24 条
[1]  
3GPP, 2019, TS22125 3GPP
[2]  
Ali K, 2017, PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT 2017)
[3]   3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements [J].
Alzenad, Mohamed ;
El-Keyi, Amr ;
Yanikomeroglu, Halim .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2018, 7 (01) :38-41
[4]   3-D Placement of an Unmanned Aerial Vehicle Base Station (UAV-BS) for Energy-Efficient Maximal Coverage [J].
Alzenad, Mohamed ;
El-Keyi, Amr ;
Lagum, Faraj ;
Yanikomeroglu, Halim .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2017, 6 (04) :434-437
[5]  
Babun L, 2015, 2015 IEEE 40TH LOCAL COMPUTER NETWORKS CONFERENCE WORKSHOPS (LCN WORKSHOPS), P912, DOI 10.1109/LCNW.2015.7365946
[6]  
Basu P, 2004, IEEE MILIT COMMUN C, P1628
[7]   Efficient 3-D Placement of an Aerial Base Station in Next Generation Cellular Networks [J].
Bor-Yaliniz, R. Irem ;
El-Keyi, Amr ;
Yanikomeroglu, Haiti .
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2016,
[8]  
da Silva JMB, 2014, IEEE GLOBE WORK, P1050, DOI 10.1109/GLOCOMW.2014.7063572
[9]   Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint [J].
Hayat, Samira ;
Yanmaz, Evsen ;
Muzaffar, Raheeb .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2016, 18 (04) :2624-2661
[10]   Trajectory optimization and resource allocation for UAV base stations under in-band backhaul constraint [J].
Huang, Dongdong ;
Cui, Miao ;
Zhang, Guangchi ;
Chu, Xiaoli ;
Lin, Fan .
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2020, 2020 (01)