• Corpus ID: 195657877

Probabilistic Two-Ray Model for Air-to-Air Channel in Built-Up Areas

  title={Probabilistic Two-Ray Model for Air-to-Air Channel in Built-Up Areas},
  author={Zhuangzhuang Cui and Ke Guan and C{\'e}sar Briso and Danping He and Bo Ai and Zhangdui Zhong},
In this paper, we present a probabilistic two-ray (PTR) path loss model for air-to-air (AA) propagation channel in built-up areas. Based on the statistical model of city deployment, the PTR path loss model can be applied to suburban, urban, dense urban, and high-rise urban. The path loss is optimally fitted as the Weibull distribution and its fluctuation is fitted as the Normal distribution in ray-tracing simulations. The good agreements between our model and ray tracing indicate the proposed… 

Channel analysis in a realistic path loss model for drones support in wireless communications

This work presents an analysis of drone channel in a realistic path loss model for wireless communications, considering geometry parameters, the coverage radius and drones height on order to provide the correct connectivity to users.

WLCp2-06: Modelling the Likelihood of Line-of-Sight for Air-to-Ground Radio Propagation in Urban Environments

A new theoretical model to determine the LoS probability for air-to- ground channels based on local building geometry and knife-edge diffraction theory is proposed, which takes into account key statistical parameters such as building height, building size, building coverage, street width and street angle distribution.

Modeling air-to-ground path loss for low altitude platforms in urban environments

A statistical propagation model is proposed for predicting the air-to-ground path loss between a low altitude platform and a terrestrial terminal based on the urban environment properties, and is dependent on the elevation angle between the terminal and the platform.

Elevation Dependent Shadowing Model for Mobile Communications via High Altitude Platforms in Built-Up Areas

The HAP elevation dependent shadowing model is easy to implement and can be used for realistic planning and simulations of mobile networks provided via HAPs in built-up areas.

Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part III: The Suburban and Near-Urban Environments

This paper addresses the suburban and near-urban AG channel scenarios and developed AG channel models include path loss, small-scale fading Ricean K factors, spatial and interfrequency correlations for multiple aircraft antennas, root-mean-square (RMS) delay spread, and wideband tapped delay line (TDL) models.

Investigation of Air-to-Air Channel Characteristics and a UAV Specific Extension to the Rice Model

The Rice channel model is extended to account for multipath effects introduced by the flight altitude of unmanned vehicles on an IEEE 802.11 communication link and exemplary model parameters are derived.

The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial

This tutorial will be especially useful for researchers who work on RT algorithms development and channel modeling to meet the evaluation requirements of 5G and beyond technologies.

Measurements on C-band air-to-air channel for coexistence among multiple unmanned aircraft systems

The measurements of air-to-air channel at C-band for coexistence among multiple unmanned aircraft (UA) systems are presented. The measurement campaign was performed to clarify the channel

A Survey of Channel Modeling for UAV Communications

An extensive survey of the measurement methods proposed for UAV channel modeling that use low altitude platforms and discusses various channel characterization efforts is provided.

A Review and Future Directions of UAV Swarm Communication Architectures

This paper surveys literature regarding UAV swarm and proposes a swarm architecture that will allow for higher levels of swarm autonomy and reliability by utilizing cellular mobile network infrastructure, and chronicles initial testbed development to meet this proposed architecture.

FAA small unmanned aircraft regulations

  • accessed: 2017-07-03, [Online]. Available: https://www.faa.gov/news/factsheets/news story.cfm.newsId=20516.
  • 2017