A time-varying transition channel model for air-ground communication

Ding, Yang; Xiao, Yunlu; Xie, Jindong; Zhang, Tao

doi:10.1109/dasc.2017.8102055

Cited by 10 publications

(4 citation statements)

References 12 publications

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“…For instance, reference [97] proposed the TDL model to capture the small-scale characteristics of multipath components. Furthermore, the stochastic model accommodates multi-antenna system to boost the reliability of MIMO channel in terms of BER in [98] and capacity in [99].…”

Section: B Stochastic Channel Modelmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

716

346

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Unmanned aerial vehicles (UAVs) have gained great interest for rapid deployment in both civil and military applications. UAV communication has its own distinctive channel characteristics compared with widely used cellular and satellite systems. Thus, accurate channel characterization is crucial for the performance optimization and design of efficient UAV communication systems. However, several challenges exist in UAV channel modeling. For example, propagation characteristics of UAV channels are still less explored for spatial and temporal variations in non-stationary channels. Also, airframe shadowing has not yet been investigated for small size rotary UAVs. This paper provides an extensive survey on the measurement campaigns launched for UAV channel modeling using low altitude platforms and discusses various channel characterization efforts. We also review the contemporary perspective of UAV channel modeling approaches and outline some future research challenges in this domain.

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Section: B Stochastic Channel Modelmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

716

346

View full text Add to dashboard Cite

show abstract

“…When assessing the possible location accuracy, it should be taken into account that the channel distortions on the Air to Ground connections depend mainly on the type of terrain [20], however, it can be assumed that due to the elevation of the UAV above the ground level, signal fading is not very deep [21] and we often deal with a Rice channel with a coefficient from K = 7 to K = 14. Nevertheless, increasing the accuracy of the location requires additional filtration operations, the most popular of which are Kalman filtration [22] and the so-called Moving Average.…”

Section: Related Workmentioning

confidence: 99%

“…The conditions assumed in this study assume an outdoor LOS (Line of Sight) link modelled by the Rice radio channel. According to the guidelines contained in [21], the factor characterizing the depth of decays ranges from 7 to 14.…”

Section: The Network Structurementioning

confidence: 99%

Location Accuracy of a Ground Station based on RSS in the Rice Channel

Michalak¹

2022

Annals of Computer Science and Information Systems

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“…In this model, each tap has different weights and distributions. Articles [20,21] used a TDL model for simulating HAPS channel. This paper uses HAPS models presented in these articles.…”

Section: Hapsmentioning

confidence: 99%

Simulation of LTE-TDD in the HAPS channel

Al-Awadi¹,

Al-Dujaili

2020

IJECE

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LTE stands for Long Term Evolution. This technology enhances the data rate and capacity using a new radio interface and an optimized core network. This progress was done to satisfy standards defined for the fourth generation of cellular communications in ITU. LTE has two types of transmission: Frequency Division Duplex (FDD) and Time Division Duplex (TDD). Nowadays, LTE-TDD rapidly Grows and takes place of old fixed cellular communications, like WiMAX. Another upcoming technology in the communication industry is High Amplitude Platform Stations (HAPS). Studying the capability of HAPS as a base station for LTE-TDD is the main purpose of this paper. Simulations have done using HAPS channel and compared to Stanford University Interim (SUI) standard channels for different scenarios. Results were compared to achieve a conclusion on HAPS implementation for LTE-TDD based on BER and data throughput.

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A time-varying transition channel model for air-ground communication

Cited by 10 publications

References 12 publications

A Survey of Channel Modeling for UAV Communications

A Survey of Channel Modeling for UAV Communications

Location Accuracy of a Ground Station based on RSS in the Rice Channel

Simulation of LTE-TDD in the HAPS channel

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