31 citations · 33 across the 13 of their papers we have counts for
18 papers
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…
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…
Real-time Wireless Transmitter Authorization: Adapting to Dynamic Authorized Sets with Information Retrieval
Samurdhi Karunaratne, Samer Hanna, Danijela Cabric
As the Internet of Things (IoT) continues to grow, ensuring the security of systems that rely on wireless IoT devices has become critically important. Deep learning-based passive p…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…