Empirical Channel Models for UAV Communication: A Comparative Study

Shi Jie Seah; Chee Yen Leow; Renuka Nalinggam; Wee Kiat New; Rozana Alam; Siat Ling Jong; Hong Yin Lam; Abdullah M. Almasoud

doi:10.1109/ACCESS.2024.3424544

Empirical Channel Models for UAV Communication: A Comparative Study

Shi Jie Seah, Chee Yen Leow, Renuka Nalinggam, Wee Kiat New, Rozana Alam, Siat Ling Jong, Hong Yin Lam, Abdullah M. Almasoud

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Unmanned Aerial Vehicle (UAV) communications have received considerable attention in recent years as it can be applied to a wide range of applications. To expedite this development, it is essential to be able to model and accurately predict the wireless channels in UAV communication. Thus, in this paper, we compare various state-of-the-art empirical large-scale path loss models and provide quantitative insights into these models. Based on the operating frequency, environment, horizontal distance, and altitude, we recommend the suitable choice of empirical models for UAV communication. These insights not only facilitate more practical theoretical studies but also motivate measurement campaigns in the future.

Original language	English
Pages (from-to)	96740-96756
Number of pages	17
Journal	IEEE Access
Volume	12
DOIs	https://doi.org/10.1109/ACCESS.2024.3424544
State	Published - 2024

Keywords

Air-to-ground (AG) propagation
empirical path loss model
ground-to-air (GA) propagation
unmanned aerial vehicle (UAV)

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10.1109/ACCESS.2024.3424544

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title = "Empirical Channel Models for UAV Communication: A Comparative Study",

abstract = "Unmanned Aerial Vehicle (UAV) communications have received considerable attention in recent years as it can be applied to a wide range of applications. To expedite this development, it is essential to be able to model and accurately predict the wireless channels in UAV communication. Thus, in this paper, we compare various state-of-the-art empirical large-scale path loss models and provide quantitative insights into these models. Based on the operating frequency, environment, horizontal distance, and altitude, we recommend the suitable choice of empirical models for UAV communication. These insights not only facilitate more practical theoretical studies but also motivate measurement campaigns in the future.",

keywords = "Air-to-ground (AG) propagation, empirical path loss model, ground-to-air (GA) propagation, unmanned aerial vehicle (UAV)",

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year = "2024",

doi = "10.1109/ACCESS.2024.3424544",

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T1 - Empirical Channel Models for UAV Communication

T2 - A Comparative Study

AU - Jie Seah, Shi

AU - Leow, Chee Yen

AU - Nalinggam, Renuka

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AU - Alam, Rozana

AU - Ling Jong, Siat

AU - Yin Lam, Hong

AU - Almasoud, Abdullah M.

PY - 2024

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AB - Unmanned Aerial Vehicle (UAV) communications have received considerable attention in recent years as it can be applied to a wide range of applications. To expedite this development, it is essential to be able to model and accurately predict the wireless channels in UAV communication. Thus, in this paper, we compare various state-of-the-art empirical large-scale path loss models and provide quantitative insights into these models. Based on the operating frequency, environment, horizontal distance, and altitude, we recommend the suitable choice of empirical models for UAV communication. These insights not only facilitate more practical theoretical studies but also motivate measurement campaigns in the future.

KW - Air-to-ground (AG) propagation

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JO - IEEE Access

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Empirical Channel Models for UAV Communication: A Comparative Study

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Keywords

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