most citedMultiple Ray Received Power Modeling for mmWave Indoor and Outdoor Scenarios

5 citations · 12 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SP20212 cited

Experimental Study of Outdoor UAV Localization and Tracking using Passive RF Sensing

Udita Bhattacherjee, Ender Ozturk, Ozgur Ozdemir +3

Extensive use of unmanned aerial vehicles (UAVs) is expected to raise privacy and security concerns among individuals and communities. In this context, the detection and localizati…

eess.SP20212 cited

60 GHz Outdoor Propagation Measurements and Analysis Using Facebook Terragraph Radios

Kairui Du, Omkar Mujumdar, Ozgur Ozdemir +5

The high attenuation of millimeter-wave (mmWave) would significantly reduce the coverage areas, and hence it is critical to study the propagation characteristics of mmWave in multi…

eess.SP20212 cited

Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors

Ender Ozturk, Chethan Kumar Anjinappa, Fatih Erden +3

Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones. However, spatial multiplex…

eess.SP20201 cited

RF-Based Low-SNR Classification of UAVs Using Convolutional Neural Networks

Ender Ozturk, Fatih Erden, Ismail Guvenc

This paper investigates the problem of classification of unmanned aerial vehicles (UAVs) from radio frequency (RF) fingerprints at the low signal-to-noise ratio (SNR) regime. We us…

eess.SP2020

Outdoor mmWave Base Station Placement: A Multi-Armed Bandit Learning Approach

Fatih Erden, Chethan K. Anjinappa, Ender Ozturk +1

Base station (BS) placement in mobile networks is critical to the efficient use of resources in any communication system and one of the main factors that determines the quality of…

eess.SP2020

Localization with Deep Neural Networks using mmWave Ray Tracing Simulations

Udita Bhattacherjee, Chethan Kumar Anjinappa, LoyCurtis Smith +2

The world is moving towards faster data transformation with more efficient localization of a user being the preliminary requirement. This work investigates the use of a deep learni…