Air‐to‐ground channel model for UAVs in dense urban environments

Safwat, Nour El-Din; Newagy, Fatma; Hafez, I.M.

doi:10.1049/iet-com.2019.0964

Cited by 13 publications

(7 citation statements)

References 15 publications

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“…Also, it helps to derive the network key metrics SINR and 𝑃 𝑐 in simple forms. The proposed SEPL is derived based on The A2G path loss in [46] which is proposed for dense urban environments and considers the LOS and the NLOS conditions. The path loss is expressed by:…”

Section: A Path Loss Modelmentioning

confidence: 99%

Urban Air Mobility Communication Performance Considering Cochannel Interference

Safwat,

Sabatini,

Gardi

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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Urban Air Mobility (UAM) aims to establish a low-altitude transportation system that operates safely and efficiently to mitigate the increasing ground traffic congestion in densely populated areas. Various aircraft types, including Passenger Aerial Vehicles (PAV) and Unmanned Aerial Vehicles (UAV), will be used to provide UAM services. In this context, a large number of aircraft are expected to operate in close proximity to each other, leading to challenges in terms of communication throughput and interference. To address these challenges, this paper examines UAM communication requirements and the potential applications of cellular networks in the relevant flight environments. UAM wireless connectivity performance is analyzed focusing on co-channel interference and mathematical expressions for the Probability of Coverage (PoC) are derived using stochastic geometry. Based on these premises, the improvements in PoC attainable 0000-0000 © 2022 IEEE using interference mitigation techniques such as Frequency Reuse (FR) and Separation Distance (SD) are investigated.Then, a PoC enhancement algorithm is presented using a combined FR-SD method. Numerical verification case studies are performed in representative conditions, showing that the proposed method is able to mitigate co-channel interference, significantly reducing computational time and increasing spectrum efficiency.

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Section: A Path Loss Modelmentioning

confidence: 99%

Urban Air Mobility Communication Performance Considering Cochannel Interference

Safwat,

Sabatini,

Gardi

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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“…The propagation model accounts for several positions of the helmet wearer (both standing and lying), the ground-bounce multi-path and the LoRa transmission parameters (namely the variable sensitivity of the receiver). Furthermore, the basic model here presented can be extended to more complex environments by characterizing the radio propagation of the considered site, either through measurement campaigns [14], [33], [34] or by ray-tracing simulations [35], [36].…”

Section: This Workmentioning

confidence: 99%

Numerical and Experimental Characterization of LoRa-based Helmet-to-UAV links on Flat Lands

Bianco,

Mejia-Aguilar,

Marrocco

2022

Preprint

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The use of the LoRa communication protocol in a new generation of transceivers is attractive for search and rescue (SaR) procedures because they can operate in harsh environments covering vast areas while maintaining a low power consumption. The possibility of wearing helmets equipped with LoRa-radios and installing LoRa transceivers in unmanned aerial vehicles (UAVs) will accelerate the localization of the targets, probably unconscious. In this paper, the achievable communication ranges of such links are theoretically and experimentally evaluated by considering the possible positions of the helmet wearer (standing or lying) on a flat field, representing a simple SaR scenario. Simulations and experimental tests demonstrated that, for the standing position, the ground-bounce multi-path produces strong fluctuations of the received power versus the Tx-Rx distances. Such fluctuations can be kept confined within 100 m from the target by lowering the UAV altitude. Instead, for a more critical lying position, the received power profile is monotonic and nearly insensitive to the posture. For all the considered cases, the signal emitted by the body-worn transceiver can be exploited to localize the helmet wearer based on its strength, and it is theoretically detectable by the UAV radio up to 5 km on flat terrain.

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“…For r ≥ 0, I 0 is the Bessel function of the zeroth order of the first kind. Now rice factor K is expressed in dB as given in Equation (11).…”

Section: Fading Model and Pathloss For Hap-uavmentioning

confidence: 99%

“…Many civilian applications have begun employing UAVs to perform numerous activities because of the dominating air-to-ground (A2G) propagation connection and the great degree of freedom they offer. 11 UAVs provide enhanced coverage and improved capacity in disaster applications as relays between the users and terrestrial aircraft or central aerial nodes. UAVs as a relay node offers several desirable benefits such as line of sight (LOS), minimum propagation delay, quick maintenance, fast deployment, redeployment, and extended connectivity.…”

Section: Introductionmentioning

confidence: 99%

Unmanned aerial vehicle‐enabled layered architecture based solution for disaster management

Khan

Gupta

2021

Trans Emerging Tel Tech

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Unmanned aerial vehicle (UAV) has become a priority in the industrial and academic research community for the last few years. With the fast development of wireless networking technologies, it is widely used in many applications such as surveillance, search and rescue (SAR) operation, disaster management, remote monitoring, and so forth. Emergency communication for victims and first responders is one of the critical requirements during natural and human-made disasters. Airborne Base Stations (BS) or UAV-mounted BS has been used to provide high-speed internet services and rescue responses in natural disasters and emergencies in recent years. Most of the previous research on UAV-mounted BS (UAVmBS) only considers outdoor users. It assumes their coordinate position in a two-dimensional (2D) plane, taking only Euclidean pathloss-based distance into account.Though, in man-made or urban natural disaster situations such as floods, cyclones, building fires, and so forth, users are stuck in single or multistory high-rise buildings situated in a three-dimensional (3D) plane. In such cases, it is possible to interact and rescue reliably if pathloss features are known a priori, both for UAVmBS to users (downlink) and vice versa (uplink). As pathloss in the above situations is a mixture of outdoor and indoor elements, adopting a compatible model can be challenging for communications. This article proposes a layered architecture and studies the path loss models best suited for the disaster management system (DMS), which considers both indoor and outdoor parameters. Further, the main goal is to effectively implement a layered architecture employing UAVmBS in urban disasters for better capacity and coverage improvement. Simulation outputs display the progress in transmission delays, throughput, and effective packet delivery for disaster management.

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Air‐to‐ground channel model for UAVs in dense urban environments

Cited by 13 publications

References 15 publications

Urban Air Mobility Communication Performance Considering Cochannel Interference

Urban Air Mobility Communication Performance Considering Cochannel Interference

Numerical and Experimental Characterization of LoRa-based Helmet-to-UAV links on Flat Lands

Unmanned aerial vehicle‐enabled layered architecture based solution for disaster management

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