activity
20172020
most citedStochastic Modeling of Beam Management in mmWave Vehicular Networks

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR20201 cited

Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints

Luis F. Abanto-Leon, Andreas Baeuml, Gek Hong +3

The intrinsic hardware imperfection of WiFi chipsets manifests itself in the transmitted signal, leading to a unique radiometric fingerprint. This fingerprint can be used as an add…

cs.NI2020

An Analytical Framework for mmWave-Enabled V2X Caching

Saeede Fattahi-Bafghi, Zolfa Zeinalpour-Yazdi, Arash Asadi

Autonomous vehicles will rely heavily on vehicle-to-everything (V2X) communications to obtain a large amount of information required for navigation and road safety purposes. This c…

eess.SP20191 cited

Stochastic Modeling of Beam Management in mmWave Vehicular Networks

Somayeh Aghashahi, Samaneh Aghashahi, Zolfa Zeinalpour-Yazdi +2

Mobility management is a major challenge for the wide-spread deployment of millimeter-wave (mmWave) cellular networks. In particular, directional beamforming in mmWave devices rend…

cs.NI2019

A Channel Measurement Campaign for mmWave Communication in Industrial Settings

Adrian Loch, Cristina Cano, Gek Hong +3

Industry 4.0 relies heavily on wireless technologies. Energy efficiency and device cost have played a significant role in the initial design of such wireless systems for industry a…

cs.NI2017

DORE: An Experimental Framework to Enable Outband D2D Relay in Cellular Networks

Arash Asadi, Vincenzo Mancuso, Rohit Gupta

Device-to-Device communications represent a paradigm shift in cellular networks. In particular, analytical results on D2D performance for offloading and relay are very promising, b…