158 citations · 438 across the 70 of their papers we have counts for
9 papers · 1 filter
Out-of-Zone Signal Leakage Sensing in Radio Dynamic Zones
Sung Joon Maeng, İsmail Güvenç, Mihail L. Sichitiu +1
Radio dynamic zones (RDZs) are geographically bounded areas where novel advanced wireless technologies can be developed, tested, and improved, without the concern of interfering to…
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…
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…
Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach
Chethan K. Anjinappa, Ismail Guvenc
The utilization of millimeter-wave (mmWave) bands in 5G networks poses new challenges to network planning. Vulnerability to blockages at mmWave bands can cause coverage holes (CHs)…
Precoder Design for Physical-Layer Security and Authentication in Massive MIMO UAV Communications
Sung Joon Maeng, Yavuz Yapıcı, İsmail Güvenç +2
Supporting reliable and seamless wireless connectivity for unmanned aerial vehicles (UAVs) has recently become a critical requirement to enable various different use cases of UAVs.…
Coverage Analysis of Cellular-Connected UAV Communications with 3GPP Antenna and Channel Models
Zhuangzhuang Cui, Ke Guan, İsmail Güvenç +2
For reliable and efficient communications of aerial platforms, such as unmanned aerial vehicles (UAVs), the cellular network is envisioned to provide connectivity for the aerial an…
Semi-supervised Learning Framework for UAV Detection
Olusiji O Medaiyese, Martins Ezuma, Adrian P Lauf +1
The use of supervised learning with various sensing techniques such as audio, visual imaging, thermal sensing, RADAR, and radio frequency (RF) have been widely applied in the detec…
Sub-Terahertz and mmWave Penetration Loss Measurements for Indoor Environments
Kairui Du, Ozgur Ozdemir, Fatih Erden +1
Millimeter-wave (mmWave) and terahertz (THz) spectrum can support significantly higher data rates compared to lower frequency bands and hence are being actively considered for 5G w…
Wavelet Transform Analytics for RF-Based UAV Detection and Identification System Using Machine Learning
Olusiji Medaiyese, Martins Ezuma, Adrian P. Lauf +1
In this work, we performed a thorough comparative analysis on a radio frequency (RF) based drone detection and identification system (DDI) under wireless interference, such as WiFi…