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Three-Dimensional Non-stationary Wideband Geometry-Based UAV Channel Model for A2G Communication Environments
2019
IEEE Access
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In this paper, we propose a novel three-dimensional multiple-input multiple-output channel model to describe the air-to-ground (A2G) communication environments. ...
In light of this, we are able to investigate the propagation properties of the A2G channel model for different time delays. ...
Therefore, it is important to introduce a three-dimensional (3D) air-to-ground (A2G) channel model to reflect the propagation properties of UAV communications. ...
doi:10.1109/access.2019.2897431
fatcat:5jjknrriy5cpdeqy3s53fa6fpy
A Survey of Channel Modeling for UAV Communications
2018
IEEE Communications Surveys and Tutorials
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ACKNOWLEDGMENT We would like to thank Dr Richard Staunton for reading our manuscript and correcting typographical errors. ...
Geometry-based Stochastic Channel Model Geometry-based stochastic modeling approach obtains the spatial-temporal channel characteristics with the stochastic output in a 3D geometric simulated environment ...
In [20] , the geometric-based stochastic approach has been utilized for UAV channel modeling to analytically characterize a 2 × 2 MIMO enabled AG propagation in a 3D plane. ...
doi:10.1109/comst.2018.2856587
fatcat:uvxhrptp5vfb5dtoe64hpuz4ua
Geometry-Based Channel Modelling for Vehicle-to-Vehicle Communication: A Review
2021
International Journal of Antennas and Propagation
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This paper reviews the recent techniques used for geometry-based stochastic channel modelling for V2V communication. ...
It starts by presenting the various classes of wireless communication channel models available in the literature with more emphasis on the Geometry-Based Stochastic channel Models (GBSM). ...
In [34] , a wideband GBSM for low-altitude UAV channels based on WSS assumption was developed. ...
doi:10.1155/2021/4293266
fatcat:qp5oafcb6zgjxjenmsxykeifle
A 3D Non-Stationary Wideband GBSM for Low-Altitude UAV-to-Ground V2V MIMO Channels
2019
IEEE Access
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In this paper, we propose a three-dimensional (3D) wideband non-stationary A2G vehicle-to-vehicle (V2V) geometry-based stochastic channel model (GBSM). ...
This fact motivates us to develop a non-stationary channel model for UAV-to-ground links. ...
On the contrary, the geometry-based stochastic channel model (GBSM) method is a typical stochastic channel modeling method that has been widely used to simulate wireless channels due to its good balance ...
doi:10.1109/access.2019.2919790
fatcat:q7p3v6bxwrfdbgfdyz7yus4cee
Channel Modeling for UAV Communications: State of the Art, Case Studies, and Future Directions
[article]
2021
arXiv
pre-print
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This article pours attention into the essentials of corresponding air-to-air (A2A) and air-to-ground (A2G) channels in UAV communications. ...
ground station, to name a few. ...
It is known that popular channel models are usually statistical, deterministic, and geometry-based stochastic. Each modeling approach has its pros and cons. ...
arXiv:2012.06707v2
fatcat:axtvrbnjq5cirezfph46xcan3i
A Comprehensive Survey on UAV Communication Channel Modeling
2019
IEEE Access
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To fill this gap, this paper focuses on reviewing the air-to-ground (A2G), ground-to-ground (G2G) and air-toair (A2A) channel measurements and modeling for UAV communications and aeronautical communications ...
C-band [79] A2G channels for over-water, several terrains and aircraft shadowing [20] [21] [22] 91] Path loss and shadowing between UAVs and LTE cellular networks at 800 MHz [68] Geometry-based stochastic ...
A. UAV MIMO CHANNELS Zeng et al. [96] investigated the geometry-based stochastic model [97] used for UAV MIMO channel modeling. ...
doi:10.1109/access.2019.2933173
fatcat:uajjuvmvjzgi3hcbeopsf4yjju
A 3D Non-Stationary Geometry-Based Stochastic Model for UAV-MIMO Ricean Fading Channels
2019
IET Communications
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In this study, the authors propose a novel three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM) and the corresponding deterministic and stochastic simulation models for non-isotropic ...
All the aforementioned GBSMs for UAV channels are based on the wide-sense stationary (WSS) modelling assumption, i.e. the channel statistical properties are considered unchanged with respect to time. ...
For example, UAVs are able to move freely in a real three-dimensional (3D) environment with relatively high velocities, and obstacles exist around the UAV while traditional air-ground systems have the ...
doi:10.1049/iet-com.2019.0139
fatcat:peu2cmtmujgnpac2zt6dn3myru
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
[article]
2021
arXiv
pre-print
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The technical potential of and challenges for mmWave-UAV communications are presented first. Then, we provide an overview on relevant mmWave antenna structures and channel modeling. ...
However, the communication capacity is becoming a bottleneck for UAV to support more challenging application scenarios. ...
Stochastic channel models, such as geometry-based stochastic channel models (GSCMs) and tapped delay line (TDL) models, utilize statistical distribution models and empirical parameters to mathematically ...
arXiv:2104.09204v2
fatcat:rbywt5p7uzhhzg3hbc7tnln45q
Millimeter Wave Channel Modeling via Generative Neural Networks
[article]
2020
arXiv
pre-print
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The methodology is demonstrated for 28GHz air-to-ground channels in an urban environment, with training datasets produced by means of ray tracing. ...
This paper presents a general modeling methodology based on training generative neural networks from data. ...
AIR-TO-GROUND RAY TRACING DATA AT 28 GHZ Experimental data on UAV channels has been limited, particularly in the mmWave bands [19] , [20] , [26] - [28] . ...
arXiv:2008.11006v1
fatcat:h5jo6kcidjekxnggtq4ryk744a
Mobility Support for Millimeter Wave Communications: Opportunities and Challenges
[article]
2022
arXiv
pre-print
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(V2X), high speed train (HST), unmanned aerial vehicle (UAV), and the new space-air-ground-sea communication scenarios. ...
Next we survey the key challenges and existing solutions to mmWave applications, such as channel modeling, channel estimation, anti-blockage, and capacity improvement. ...
, air-to-air, and air-to-ground, air-to-sea links [73] . ...
arXiv:2205.09214v1
fatcat:l7ekb4a3pnabxmnlr7wirpm55q
Accessing From The Sky: A Tutorial on UAV Communications for 5G and Beyond
[article]
2019
arXiv
pre-print
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In this paper, we give a tutorial overview of the recent advances in UAV communications to address the above issues, with an emphasis on how to integrate UAVs into the forthcoming fifth-generation (5G) ...
Several critical issues arise, including the line-of-sight (LoS) dominant UAV-ground channels and resultant strong aerial-terrestrial network interference, the distinct communication quality of service ...
For example, 3D geometry-based stochastic model for multiple-input multipleoutput (MIMO) UAV channels has been proposed in [50] . ...
arXiv:1903.05289v2
fatcat:tvwlivdxpra6rebdvikbrrczmm
A Three Dimensional MIMO Channel Model for Unmanned Aerial Vehicle in Urban Environments
2021
IEEE Open Journal of the Communications Society
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To accomplish this, we propose the use of a geometric stochastic technique to model the channel behavior which lies between High Altitude Platforms (HAP) and terrestrial link communications. ...
In order to design high throughput and efficient communication schemes for these scenarios, a deep understanding of the communication channel behavior is required, especially taking into account measurement ...
In this sense, a multiantenna extension of the Geometric Air-to-Ground Ellipsoidal (GAGE) radio channel model has been recently proposed by Wentz [32] for a base station replacement in cellular service ...
doi:10.1109/ojcoms.2021.3090399
fatcat:foyky7r6cvbtvozqdrtnseehnm
Modeling and Simulation for UAV Aided Vehicular MIMO Communication Channels
2019
IET Communications
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For the unmanned aerial vehicle (UAV)-aided vehicular multiple-input multiple-output Ricean fading channel, this study proposes a novel three-dimensional geometry-based stochastic model (GBSM). ...
stochastic models [11] and geometry-based stochastic models (GBSMs). ...
A 3D UAV-MIMO model which combining an elliptic-cylinder and a two-sphere model was proposed in [18] . ...
doi:10.1049/iet-com.2019.0329
fatcat:fosgtwhvqzhonbjwglhlre4npa
Generative Neural Network Channel Modeling for Millimeter-Wave UAV Communication
[article]
2021
arXiv
pre-print
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The methodology is demonstrated for 28 GHz air-to-ground channels between UAVs and a cellular system in representative urban environments, with training datasets produced through ray tracing. ...
This paper presents a general modeling methodology based on data-training a generative neural network. ...
For the air-to-ground modeling problem, we consider two types of gNBs: • Standard gNBs, installed at street level and downtilted to serve terrestrial users, but potentially usable for UAV connectivity; ...
arXiv:2012.09133v2
fatcat:4v5nqpebxvfvnjfclfvm5c5pqq
Closing Connectivity Gap: An Overview of Mobile Coverage Solutions for Not-Spots in Rural Zones
2021
Sensors
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Building new digital roads and pursuing a connected society includes looking for easier access to the internet. ...
Access to broadband communications in different parts of the world has become a priority for some governments and regulatory authorities around the world in recent years. ...
Optimization of Multi-UAV user deployment based in modified Kmeans distribution and POO. [99] X X X 3D non-stationary geometry-based stochastic channel model for A2G. • 3D arbitrary trajectories. • 3D ...
doi:10.3390/s21238037
pmid:34884041
fatcat:hlevmepei5fgdlryfd4navk55m
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