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Performance analysis of Terahertz unmanned aerial vehicular networks

Performance analysis of Terahertz unmanned aerial vehicular networks
Performance analysis of Terahertz unmanned aerial vehicular networks
Terahertz (THz) transmission technologies constitute a promising candidate for supporting ultra-broadband short-range next generation communications. Hence, we analyse the performance of unmanned aerial vehicle (UAV) in the THz networks. The coverage probability is derived as well as the area spectral efficiency (ASE) and a pair of Line-of-sight (LoS)/non-line-of-sight (NLoS) probability models, namely the macrocell LoS/NLoS probability model and picocell LoS/NLoS probability model are adopted. Furthermore, the lower-bound of the network performance are derived via homogeneous Poisson point process (HPPP) analysis, as well as the upper-bound. The simulation results match the analytical results well, which show that the coverage probability of the network first increases upon increasing the THz UAV BS density, and then decreases beyond the maximum. Given the severe path loss experienced by THz signals, a higher UAV density is required for a certain coverage probability than at lower carrier frequencies.
0018-9545
16330-16335
Wang, Xufang
abd5b967-032e-4011-81bb-68e5d40e9dba
Wang, Peng
654ca9f6-58ce-4d6c-9365-77b64ace65ee
Ding, Ming
56b49ccd-e18d-4a0d-9bff-6ae33d5697e5
Lin, Zihuai
ccf46fdb-cda4-4fbe-9cab-41ba727def88
Lin, Feng
8598f79f-3782-4248-9147-8daa3020cfe1
Vucetic, Branka
d0fbb609-eedd-4001-be40-09ca2bc548b2
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Xufang
abd5b967-032e-4011-81bb-68e5d40e9dba
Wang, Peng
654ca9f6-58ce-4d6c-9365-77b64ace65ee
Ding, Ming
56b49ccd-e18d-4a0d-9bff-6ae33d5697e5
Lin, Zihuai
ccf46fdb-cda4-4fbe-9cab-41ba727def88
Lin, Feng
8598f79f-3782-4248-9147-8daa3020cfe1
Vucetic, Branka
d0fbb609-eedd-4001-be40-09ca2bc548b2
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Xufang, Wang, Peng, Ding, Ming, Lin, Zihuai, Lin, Feng, Vucetic, Branka and Hanzo, Lajos (2020) Performance analysis of Terahertz unmanned aerial vehicular networks. IEEE Transactions on Vehicular Technology, 69 (12), 16330-16335. (doi:10.1109/TVT.2020.3035831).

Record type: Article

Abstract

Terahertz (THz) transmission technologies constitute a promising candidate for supporting ultra-broadband short-range next generation communications. Hence, we analyse the performance of unmanned aerial vehicle (UAV) in the THz networks. The coverage probability is derived as well as the area spectral efficiency (ASE) and a pair of Line-of-sight (LoS)/non-line-of-sight (NLoS) probability models, namely the macrocell LoS/NLoS probability model and picocell LoS/NLoS probability model are adopted. Furthermore, the lower-bound of the network performance are derived via homogeneous Poisson point process (HPPP) analysis, as well as the upper-bound. The simulation results match the analytical results well, which show that the coverage probability of the network first increases upon increasing the THz UAV BS density, and then decreases beyond the maximum. Given the severe path loss experienced by THz signals, a higher UAV density is required for a certain coverage probability than at lower carrier frequencies.

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Performance Analysis of TeraHertz Unmanned Aerial Vehicular Networks - Accepted Manuscript
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e-pub ahead of print date: 4 November 2020

Identifiers

Local EPrints ID: 447806
URI: http://eprints.soton.ac.uk/id/eprint/447806
ISSN: 0018-9545
PURE UUID: 0f0baec6-e3f7-4263-bf7a-8d76f85f7a2d
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 23 Mar 2021 17:33
Last modified: 18 Mar 2024 05:15

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Contributors

Author: Xufang Wang
Author: Peng Wang
Author: Ming Ding
Author: Zihuai Lin
Author: Feng Lin
Author: Branka Vucetic
Author: Lajos Hanzo ORCID iD

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