A general altitude-dependent path loss model for UAV-to-ground millimeter-wave communications

Zhu, Qiuming; Yao, Mengtian; Bai, Fei; Chen, Xiaomin; Zhong, Weizhi; Hua, Boyu; Ye, Xijuan

doi:10.1631/fitee.2000497

Cited by 13 publications

(5 citation statements)

References 31 publications

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“…From Figure 5, we can see that almost half of the studies are based on traditional linear regression. On the one hand, some are directly modeled using linear regression based on measured data for street [45], bleeding [46][47][48], indoor [49][50][51][52][53][54], urban [55][56][57], vegetation shielding [58][59][60], vehicle-to-vehicle channels (V2V) [61], and station scenarios [62]. At the same time, some researchers have used linear regression to fit the standard models.…”

Section: Indexmentioning

confidence: 99%

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

Wang,

Hao,

Yang

2023

Electronics

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The radio channel model is a major factor supporting the whole life cycle of the terrestrial radio system, including the demonstration, design, validation, operation, and so on. To improve the spectrum sharing and spectral efficiency in terrestrial radio services, we analyze three types of path loss models in detail: deterministic, empirical, and semi-empirical models, to meet the requirements of path loss modeling for supporting traditional band expansion and reuse. Then, we conduct a comparative analysis based on the characteristics of the current models. Furthermore, a preview of the future terrestrial path loss modeling methods is provided, including intelligent modeling processes and multi-model hybridization methods. Finally, we look forward to the potential technology that can be used in future wireless communication, such as terahertz communication, reconfigurable intelligent surface technology, and integrated communication and sensing technology. The above research can provide a reference for the development of terrestrial radio channel modeling, promoting the technologies of terrestrial channel modeling. We hope this paper will stimulate more interest in modeling terrestrial radio channels.

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Section: Indexmentioning

confidence: 99%

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

Wang,

Hao,

Yang

2023

Electronics

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“…This work employed the propagation model, which is listed in the International Telecommunication Union (ITU-R) [20][21][22][23][24]. This model is suitable for use in both urban and suburban environments, and it incorporates various parameters for accurate calculations.…”

Section: Network Assumptionsmentioning

confidence: 99%

Energy-Efficient Resource Allocation in Aerial Base Stations

Silva,

Torres,

Cardoso

2023

Electronics

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Drones, or unmanned aerial vehicles, can be used as air base stations (UAV-BSs) for telecommunications. They prove useful in situations where the network is overloaded or unavailable due to natural disasters or maintenance work. UAV-BSs grant access to user/IoTs sensors on the ground, but their electromagnetic signals may suffer losses because of their dynamic capacity to provide access at different altitudes. These losses lead to transmission impairments, such as attenuation, fading, and distortion. To overcome these issues and improve signal quality, the UAV-BS position must be optimized. However, finding the optimal placement is a challenge, and a wide range of strategies employing different approaches have been adopted. In this study, we proposed a 3D positioning strategy for UAV-BSs that serves the maximum number of users with the smallest number of UAV-BSs. Results showed that the proposed heuristic could find the best position and altitude for the UAV-BSs, provide network access for mobile user/IoTs (Internet of things) sensors, maximize the number of devices connected to the UAV-BSs, and guarantee a minimum throughput for users. The proposed heuristic not only performs well in terms of coverage and performance, but is also more energy-efficient than other algorithms found in the literature.

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“…Also, the propagation has been analyzed in [14] at 5 GHz to measure line-of-sight (LoS) near the sea surface, but the channel model could be improved by taking into account the surface configuration added to the error rate along with signal strength at the receiver [15]. As much as in [16], it was interesting to view millimeter wave propagation over the sea environment that was analyzed, but to get better channel modelling, the sea surface should be included as a parameter according to the connection link, and receiver sensitivity. Furthermore, for more precise and robust modelling, the specification of seawater type should also be considered [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Seawater salinity modelling based on electromagnetic wave characterization

Elmutasim

Mohamed

Hamid

2023

IJECE

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<p><span lang="EN-US">Wireless communications have experienced tremendous growth, and improving their performance based on specific parameters requires an accurate model. Salt seawater, being an abundant resource, could play a crucial role in various applications such as enhancing electrical conductivity, monitoring security, improving battery power efficiency, and creating liquid antennas. Salinity is an essential factor to consider when developing these applications. This paper focused on investigating the electromagnetic properties of seawater salinity in the context of marine wireless communications. The results of the study showed that salinity has a significant impact on the Fresnel reflection coefficient in terms of magnitude, phase shift, and polarization, and can either constructively or destructively affect it. The new model paved the way for the development of an integrated salt seawater model that addressed the complex salinity issues involved in these applications.</span></p>

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A general altitude-dependent path loss model for UAV-to-ground millimeter-wave communications

Cited by 13 publications

References 31 publications

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

Energy-Efficient Resource Allocation in Aerial Base Stations

Seawater salinity modelling based on electromagnetic wave characterization

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