Search Results for author: Naveed A. Abbasi

Found 4 papers, 1 papers with code

THz Band Channel Measurements and Statistical Modeling for Urban Microcellular Environments

no code implementations3 Dec 2021 Naveed A. Abbasi, Jorge Gomez-Ponce, Revanth Kondaveti, Ashish Kumar, Eshan Bhagat, Rakesh N S Rao, Shadi Abu-Surra, Gary Xu, Charlie Zhang, Andreas F. Molisch

The THz band (0. 1-10 THz) has attracted considerable attention for next-generation wireless communications, due to the large amount of available bandwidth that may be key to meet the rapidly increasing data rate requirements.

THz Band Channel Measurements and Statistical Modeling for Urban D2D Environments

no code implementations28 Sep 2021 Naveed A. Abbasi, Jorge Gomez-Ponce, Revanth Kondaveti, Shahid M. Shaikbepari, Shreyas Rao, Shadi Abu-Surra, Gary Xu, Charlie Zhang, Andreas F. Molisch

In this paper, we present a first extensive set of channel measurements for urban outdoor environments that are ultra-wideband (1 GHz 3dB bandwidth), and double-directional where both the transmitter and receiver are at the same height.

Air-to-Ground Directional Channel Sounder With 64-antenna Dual-polarized Cylindrical Array

2 code implementations13 Feb 2021 Jorge Gomez Ponce, Thomas Choi, Naveed A. Abbasi, Aldo Adame, Alexander Alvarado, Colton Bullard, Ruiyi Shen, Fred Daneshgaran, Harpreet S. Dhillon, Andreas F. Molisch

Unmanned Aerial Vehicles (UAVs), popularly called drones, are an important part of future wireless communications, either as user equipment that needs communication with a ground station, or as base station in a 3D network.

A Machine Learning Solution for Beam Tracking in mmWave Systems

no code implementations29 Dec 2019 Daoud Burghal, Naveed A. Abbasi, Andreas F. Molisch

Utilizing millimeter-wave (mmWave) frequencies for wireless communication in \emph{mobile} systems is challenging since it requires continuous tracking of the beam direction.

BIG-bench Machine Learning

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