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20182022
most citedSoftware Defined Radio Implementation of Carrier and Timing Synchronization for Distributed Arrays

31 citations · 33 across the 13 of their papers we have counts for

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17 papers · 1 filter

eess.SP2022

Distributed Transmit Beamforming: Analyzing the Maximum Communication Range

Samer Hanna, Danijela Cabric

Distributed transmit beamforming is a technique that adjusts the signals from cooperating radios to combine coherently at a destination radio. To achieve coherent combining, the ra…

eess.SP2022

WiSig: A Large-Scale WiFi Signal Dataset for Receiver and Channel Agnostic RF Fingerprinting

Samer Hanna, Samurdhi Karunaratne, Danijela Cabric

RF fingerprinting leverages circuit-level variability of transmitters to identify them using signals they send. Signals used for identification are impacted by a wireless channel a…

eess.SP2021

Distributed Transmit Beamforming: Design and Demonstration from the Lab to UAVs

Samer Hanna, Danijela Cabric

Cooperating radios can extend their communication range by adjusting their signals to ensure coherent combining at a destination radio. This technique is called distributed transmi…

eess.SP2021

Open Set RF Fingerprinting using Generative Outlier Augmentation

Samurdhi Karunaratne, Samer Hanna, Danijela Cabric

RF devices can be identified by unique imperfections embedded in the signals they transmit called RF fingerprints. The closed set classification of such devices, where the identifi…

eess.SP2021

Destination-Feedback Free Distributed Transmit Beamforming using Guided Directionality

Samer Hanna, Enes Krijestorac, Danijela Cabric

Distributed transmit beamforming enables cooperative radios to act as one virtual antenna array, extending their communications' range beyond the capabilities of a single radio. Mo…

eess.SP2021★ 1 cited

Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification

Samer Hanna, Chris Dick, Danijela Cabric

Blindly decoding a signal requires estimating its unknown transmit parameters, compensating for the wireless channel impairments, and identifying the modulation type. While deep le…

eess.SP2021★ 1 cited

A Schottky-Diode-Based Wake-Up Receiver for IoT Applications

Mahmoud Elhebeary, Samer Hanna, Sudhakar Pamarti +2

This paper presents an always-on low-power wake-up receiver (WuRx) that activates the remainder of the system when a wake-up signal is detected. The proposed receiver has two phase…

eess.SP2021

UAV Swarm Position Optimization for High Capacity MIMO Backhaul

Samer Hanna, Enes Krijestorac, Danijela Cabric

A swarm of cooperating UAVs communicating with a distant multiantenna ground station can leverage MIMO spatial multiplexing to scale the capacity. Due to the line-of-sight propagat…

eess.SP2020

Spatial Signal Strength Prediction using 3D Maps and Deep Learning

Enes Krijestorac, Samer Hanna, Danijela Cabric

Machine learning (ML) and artificial neural networks (ANNs) have been successfully applied to simulating complex physics by learning physics models thanks to large data. Inspired b…

eess.SP2020

Combining Deep Learning and Linear Processing for Modulation Classification and Symbol Decoding

Samer Hanna, Chris Dick, Danijela Cabric

Deep learning has been recently applied to many problems in wireless communications including modulation classification and symbol decoding. Many of the existing end-to-end learnin…

eess.SP2020

Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Dataset Considerations

Samer Hanna, Samurdhi Karunaratne, Danijela Cabric

Due to imperfections in transmitters' hardware, wireless signals can be used to verify their identity in an authorization system. While deep learning was proposed for transmitter i…

eess.SP2020

Deep Learning Approaches for Open Set Wireless Transmitter Authorization

Samer Hanna, Samurdhi Karunaratne, Danijela Cabric

Wireless signals contain transmitter specific features, which can be used to verify the identity of transmitters and assist in implementing an authentication and authorization syst…

eess.SP2019

UAV Access Point Placement for Connectivity to a User with Unknown Location Using Deep RL

Enes Krijestorac, Samer Hanna, Danijela Cabric

In recent years, unmanned aerial vehicles (UAVs) have been considered for telecommunications purposes as relays, caches, or IoT data collectors. In addition to being easy to deploy…

eess.SP2019

UAV Swarms as Amplify-and-Forward MIMO Relays

Samer Hanna, Enes Krijestorac, Han Yan +1

Unmanned aerial vehicles provide new opportunities for performance improvements in future wireless communications systems. For example, they can act as relays that extend the range…

eess.SP2018

Deep Learning Based Transmitter Identification using Power Amplifier Nonlinearity

Samer S. Hanna, Danijela Cabric

The imperfections in the RF frontend of different transmitters can be used to distinguish them. This process is called transmitter identification using RF fingerprints. The nonline…

eess.SP2018

Distributed UAV Placement Optimization for Cooperative Line-of-Sight MIMO Communications

Samer Hanna, Han Yan, Danijela Cabric

Cooperative communication using unmanned aerial vehicles (UAVs) is a promising technology for infrastructureless wireless networks. One of the key challenges in UAV based communica…

eess.SP2018★ 31 cited

Software Defined Radio Implementation of Carrier and Timing Synchronization for Distributed Arrays

Han Yan, Samer Hanna, Kevin Balke +2

The communication range of wireless networks can be greatly improved by using distributed beamforming from a set of independent radio nodes. One of the key challenges in establishi…