Empirical Path Loss Channel Characterization Based on Air‐to‐Air Ground Reflection Channel Modeling for UAV‐Enabled Wireless Communications

Supramongkonset, Jatuporn; Duangsuwan, Sarun; Maw, Myo Myint; Promwong, Sathaporn

doi:10.1155/2021/5589487

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…In this work, authors suggested to use a three-dimensional (3D) non-stationary geometry-based stochastic model for air-to-air channels in UAV communication. In current literature, Broadly used low-power radios that are designed based on IEEE 802.15.4 [377], IEEE 802.11 [378] [379] and LoRa standards [380] have been used to experimentally characterize the air-to-air propagation channel [381]. However, the influence of the Doppler spectrum and antenna orientation of air-to-air channels have been poorly addressed in the literature and required further investigation [138].…”

Section: B Channel Modelingmentioning

confidence: 99%

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

et al. 2022

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The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly increased across a variety of applications over the past few years. This is due to the rapid advancement towards the design and production of inexpensive and dependable UAVs and the growing request for the utilization of such platforms particularly in civil applications. With their intrinsic attributes such as high mobility, rapid deployment and flexible altitude, UAVs have the potential to be utilized in many wireless system applications. On the one hand, UAVs are able to operate as flying mobile terminals within wireless/cellular networks to support a variety of missions such as goods delivery, search and rescue, precision agriculture monitoring, and remote sensing. On the other hand, UAVs can be utilized as aerial base stations to increase wireless communication coverage, reliability, and the capacity of wireless systems without additional investment in wireless systems infrastructure. The aim of this article is to review the current applications of UAVs for civil and commercial purposes. The focus of this paper is on the challenges and communication requirements associated with UAV-based communication systems. This article initially classifies UAVs in terms of various parameters, some of which can impact UAVs' communication performance. It then provides an overview of aerial networking and investigates UAVs routing protocols specifically, which are considered as one of the challenges in UAV communication. This article later investigates the use of UAV networks in a variety of civil applications and considers many challenges and communication demands of these applications. Subsequently, different types of simulation platforms are investigated from a communication and networking viewpoint. Finally, it identifies areas of future research.

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Section: B Channel Modelingmentioning

confidence: 99%

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

et al. 2022

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Impact of urban environments on FANET communication: A comparative study of propagation models

Gashaw,

Wubben,

Calafate

et al. 2025

Ad Hoc Networks

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Exploring Ground Reflection Effects on Received Signal Strength Indicator and Path Loss in Far-Field Air-to-Air for Unmanned Aerial Vehicle-Enabled Wireless Communication

Duangsuwan,

Jamjareegulgarn

2024

Drones

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Unmanned aerial vehicle (UAV)-enabled wireless communications are becoming increasingly important in applications such as maritime and forest rescue operations. UAV systems often depend on wireless networking and mobile edge computing (MEC) devices for effective deployment, particularly in swarm UAV-enabled MEC configurations focusing on channel modeling and path loss characteristics for air-to-air (A2A) communications. This paper examines path loss characteristics in far-field (FF) ground reflection scenarios, specifically comparing two environments: FF1 (forest floor) and FF2 (seawater floor). LoRa modules operating at 868 MHz were deployed for communication between a transmitting UAV (Tx-UAV) and a receiving UAV (Rx-UAV) to conduct this study. We investigated the received signal strength indicator (RSSI) and path loss characteristics across channel bandwidths of 125 kHz and 250 kHz and spread factors (SF) of 7, 9, and 12. Experimental results show that ground reflection has minimal impact in the FF1 scenario, whereas, in the FF2 scenario, ground reflection significantly influences communication. Therefore, in the seawater environment, a UAV-enabled LoRa MEC configuration using a 250 kHz bandwidth and an SF of 7 is recommended to minimize the effects of ground reflection.

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Empirical Path Loss Channel Characterization Based on Air‐to‐Air Ground Reflection Channel Modeling for UAV‐Enabled Wireless Communications

Cited by 3 publications

References 35 publications

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

Unmanned Aerial Vehicle Communications for Civil Applications: A Review

Impact of urban environments on FANET communication: A comparative study of propagation models

Exploring Ground Reflection Effects on Received Signal Strength Indicator and Path Loss in Far-Field Air-to-Air for Unmanned Aerial Vehicle-Enabled Wireless Communication

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