Physics-Based 3D End-to-End Modeling for Double-RIS Assisted Non-Stationary UAV-to-Ground Communication Channels

Jiang, Hao; Xiong, Baiping; Zhang, Hongming; Başar, Ertuğrul

doi:10.1109/tcomm.2023.3266832

Cited by 52 publications

(16 citation statements)

References 29 publications

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“…In channel realization, the proper modeling of scatterer and cluster numbers is important [27], [28]. However, in [29], the number of scatterers was modeled to obey the linear distribution and the distinction between dynamic scatterers and static scatterers was ignored.…”

Section: A Scatterer and Cluster Numbersmentioning

confidence: 99%

Transforming Fading Channel From Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

Huang

Zheng

Zhang

2022

IEEE Trans. Wireless Commun.

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In this paper, a novel channel modeling approach, named light detection and ranging (LiDAR)-aided geometrybased stochastic modeling (LA-GBSM), is developed. Based on the developed LA-GBSM approach, a new millimeter wave (mmWave) channel model for sixth-generation (6G) vehicular intelligent sensing-communication integration is proposed, which can support the design of intelligent transportation systems (ITSs). The proposed LA-GBSM is accurately parameterized under high, medium, and low vehicular traffic density (VTD) conditions via a sensing-communication simulation dataset with LiDAR point clouds and scatterer information for the first time. Specifically, by detecting dynamic vehicles and static building/tress through LiDAR point clouds via machine learning, scatterers are divided into static and dynamic scatterers. Furthermore, statistical distributions of parameters, e.g., distance, angle, number, and power, related to static and dynamic scatterers are quantified under high, medium, and low VTD conditions. To mimic channel non-stationarity and consistency, based on the quantified statistical distributions, a new visibility region (VR)-based algorithm in consideration of newly generated static/dynamic scatterers is developed. Key channel statistics are derived and simulated. By comparing simulation results and raytracing (RT)-based results, the utility of the proposed LA-GBSM is verified.

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Section: A Scatterer and Cluster Numbersmentioning

confidence: 99%

Transforming Fading Channel From Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

Huang

Zheng

Zhang

2022

IEEE Trans. Wireless Commun.

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“…Unmanned aerial vehicles (UAVs) are capable of performing as mobile base stations (BSs) to support or even replace terrestrial BSs in a wide range of civilian and military applications [1] [2]. Explicitly, due to their flexibility, UAVs can meet the demand for data traffic at a relatively low cost in wireless networks [3]. As a benefit of their agility, UAVs can be deployed at inaccessible location or in emergency events [4].…”

Section: Introductionmentioning

confidence: 99%

Sum rate maximization for UAV assisted maritime wireless networks

Jiang,

Chang,

Liao

et al. 2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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In this paper, we study the sum rate maximization problem involved in an unmanned aerial vehicle (UAV)-assisted maritime wireless network. Explicitly, the quadratic transform is first applied to transform the sum rate maximization problem into a tractable one by introducing an auxiliary variable. However, the recast objective function is nondifferentiable at some points, making it hard to solve especially when using gradient based methods. In order to tackle this problem, we propose a projected steepest descent algorithm, where smoothing and normalization methods are also used. Finally, simulation results are provided for characterizing that the proposed algorithm is capable of providing an improved sum rate performance for the UAV-assisted maritime wireless network.

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“…To the best of the authors' knowledge, the study of IRS-assisted MIMO communication system models in THz band is still in its infancy [13][14][15][16][17][18][19]. In [13], the latest research on reconfigurable intelligent surface-(RIS-) assisted wireless networks is summarized and the differences between the principles of RIS technology and similar technologies are analyzed.…”

Section: Introductionmentioning

confidence: 99%

Pathloss Modeling and Analysis for Intelligent Reflecting Surface-Assisted Terahertz MIMO Wireless Systems

Yang,

Wang,

et al. 2023

International Journal of RF and Microwave Computer-Aided Engine

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In this paper, the impact of the intelligent reflecting surface (IRS) on the propagation characteristics is analyzed from the arguments of the physical and electromagnetic characteristics of the channel. Analytical expressions for free-space pathloss are derived based on the terahertz multiple-input multiple-output (MIMO) channel model in different communication scenarios. This calculation method is broadly applicable and is used to characterize pathloss as a function of the configuration of our system model. Numerical results show that setting the phase matrix of IRS based only on the angle of arrival (AoA) and angle of departure (AoD) can significantly reduce the pathloss when the far-field condition is met. However, when the distance between the transceiver and the IRS is the same order of magnitude or less than the side length of the IRS, both direction and distance information are required to configure the IRS. This model provides an insightful consideration in the design of IRS-assisted wireless system.

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Physics-Based 3D End-to-End Modeling for Double-RIS Assisted Non-Stationary UAV-to-Ground Communication Channels

Cited by 52 publications

References 29 publications

Transforming Fading Channel From Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

Transforming Fading Channel From Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

Sum rate maximization for UAV assisted maritime wireless networks

Pathloss Modeling and Analysis for Intelligent Reflecting Surface-Assisted Terahertz MIMO Wireless Systems

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