Communication Disruption Analysis of UAV-Assisted Terahertz-Enabled 6G Base Station in Internet of Flying Things

The Internet of Flying Things (IoFT) comprises a network of interconnected aerial devices, including drones, unmanned aerial vehicles (UAVs), and other airborne objects. IoFT operating in the Terahertz (THz) band will be crucial for 6 G in achieving full geographic coverage, high data rate communication, and centimeter-level geolocation accuracy in harsh environments. This study examines the disruption analysis of communication between users and UAV-assisted base stations operating in the THz band, particularly in disaster scenarios where conventional communication infrastructure is compromised. The research highlights the significant challenge posed by high absorption loss in the THz band. The results indicate that higher antenna power and gain reduce the probability of outage, while increasing UAV distance leads to greater path loss and an increased probability of outage. The study also emphasizes the effect of different atmospheric models on THz communications, underscoring the importance of environmental conditions in designing and deploying UAV-assisted THz base stations in IoFT. The study concludes that UAVs operate more efficiently at higher altitudes and under favorable weather conditions.

Authors

Institutions

Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/idap64064.2024.10710917
Citations
2
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
0.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Communication Disruption Analysis of UAV-Assisted Terahertz-Enabled 6G Base Station in Internet of Flying Things

Orhan Dağdevıren, Mustafa Alper Akkaş, Ismail Ersin
2 citations
Telecommunications and Broadcasting Technologies
0.64
article

Communication Disruption Analysis of UAV-Assisted Terahertz-Enabled 6G Base Station in Internet of Flying Things

Orhan Dağdevıren, Mustafa Alper Akkaş, Ismail Ersin
article en
2 citations

Abstract

The Internet of Flying Things (IoFT) comprises a network of interconnected aerial devices, including drones, unmanned aerial vehicles (UAVs), and other airborne objects. IoFT operating in the Terahertz (THz) band will be crucial for 6 G in achieving full geographic coverage, high data rate communication, and centimeter-level geolocation accuracy in harsh environments. This study examines the disruption analysis of communication between users and UAV-assisted base stations operating in the THz band, particularly in disaster scenarios where conventional communication infrastructure is compromised. The research highlights the significant challenge posed by high absorption loss in the THz band. The results indicate that higher antenna power and gain reduce the probability of outage, while increasing UAV distance leads to greater path loss and an increased probability of outage. The study also emphasizes the effect of different atmospheric models on THz communications, underscoring the importance of environmental conditions in designing and deploying UAV-assisted THz base stations in IoFT. The study concludes that UAVs operate more efficiently at higher altitudes and under favorable weather conditions.

Vol. 140
Ege University (TR), Bolu Abant İzzet Baysal University (TR)
Openalex Percentile: Top 26%
Telecommunications and Broadcasting Technologies
0.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Communication Disruption Analysis of UAV-Assisted Terahertz-Enabled 6G Base Station in Internet of Flying Things — Orhan Dağdevıren, Mustafa Alper Akkaş, et al. · (2024) | TGRS Research Map | TGRS