Search Results for author: Aydin Sezgin

Found 21 papers, 0 papers with code

Enhancing the Secrecy Rate with Direction-range Focusing with FDA and RIS

no code implementations26 Jan 2024 Chu Li, Stefan Roth, Aydin Sezgin

Simulations verify the correctness of the closed-form expressions and demonstrate that we can effectively improve the secrecy rate, especially when the eavesdropper is close to the RIS or the legitimate user.

Resilient Sparse Array Radar with the Aid of Deep Learning

no code implementations21 Jun 2023 Aya Mostafa Ahmed, Udaya S. K. P. Miriya Thanthrige, Aydin Sezgin, Fulvio Gini

In this paper, we address the problem of direction of arrival (DOA) estimation for multiple targets in the presence of sensor failures in a sparse array.

Denoising

The Perfect Match: RIS-enabled MIMO Channel Estimation Using Tensor Decomposition

no code implementations18 Nov 2022 Bilal Ahmad, Kevin Weinberger, Aydin Sezgin, Bilal Zafar, Martin Haardt

To enable the full potential of RISs, we propose to use tensor-decomposition-based CE, which facilitates smart configuration of the RIS by providing the required channel components.

Tensor Decomposition

RIS-enhanced Resilience in Cell-Free MIMO

no code implementations31 Oct 2022 Kevin Weinberger, Robert-Jeron Reifert, Aydin Sezgin, Ertugrul Basar

More and more applications that require high reliability and fault tolerance are realized with wireless network architectures and thus ultimately rely on the wireless channels, which can be subject to impairments and blockages.

IRS-enabled Breath Tracking with Colocated Commodity WiFi Transceivers

no code implementations10 Mar 2022 Simon Tewes, Markus Heinrichs, Rainer Kronberger, Aydin Sezgin

By utilizing an IRS prototype system, this paper aims to enhance self-interference (SI) cancellation for breath tracking with commodity WiFi devices.

On the Impact of Oscillator Phase Noise in an IRS-assisted MISO TDD System

no code implementations6 Jul 2021 Chu Li, Aydin Sezgin, Zhu Han

In this work, we study the impact of the multiplicative phase noise in an IRS-assisted system.

Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing

no code implementations7 Jun 2021 Udaya S. K. P. Miriya Thanthrige, Peter Jung, Aydin Sezgin

In many scenarios, the number of defects that we are interested in is limited and the signaling response of the layered structure can be modeled as a low-rank structure.

Compressive Sensing Defect Detection

Full-Duplex meets Reconfigurable Surfaces: RIS-assisted SIC for Full-Duplex Radios

no code implementations26 May 2021 Simon Tewes, Markus Heinrichs, Paul Staat, Rainer Kronberger, Aydin Sezgin

Reconfigurable intelligent surfaces (RIS) are a key enabler of various new applications in 6G smart radio environments.

Synergistic Benefits in IRS- and RS-enabled C-RAN with Energy-Efficient Clustering

no code implementations12 May 2021 Kevin Weinberger, Alaa Alameer Ahmad, Aydin Sezgin, Alessio Zappone

Interestingly, with an increasing fronthaul capacity, the gain of the dynamic user clustering decreases, while the gain of the dynamic RS method increases.

Clustering

Kalman filter based MIMO CSI phase recovery for COTS WiFi devices

no code implementations15 Jan 2021 Chu Li, Jeremy Brauer, Aydin Sezgin, Christian Zenger

Recently channel state information (CSI) measurements from commercial multi input multi output (MIMO) WiFi systems have been ubiquitously used for different wireless sensing applications.

Spoofing attack detection in dynamic channels with imperfect CSI

no code implementations15 Jan 2021 Chu Li, Aydin Sezgin

Recently, channel state information (CSI) at the physical-layer has been utilized to detect spoofing attacks in wireless communications.

Localization Attack by Precoder Feedback Overhearing in 5G Networks and Countermeasures

no code implementations14 Dec 2020 Stefan Roth, Stefano Tomasin, Marco Maso, Aydin Sezgin

We analyze the attack and assess the obtained localization accuracy against various parameters.

Information Theory Cryptography and Security Signal Processing Information Theory

Defect Detection by MIMO Wireless Sensing based on Weighted Low-Rank plus Sparse Recovery

no code implementations31 Oct 2020 Udaya S. K. P. Miriya Thanthrige, Ali Kariminezhad, Peter Jung, Aydin Sezgin

Here, defects are inside a layered material structure, therefore, due to reflections from the surface of the layered material structure the defect detection is challenging.

Compressive Sensing Defect Detection

Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays

no code implementations27 Jul 2020 Aya Mostafa Ahmed, Udaya Sampath K. P. Miriya Thanthrige, Aly El Gamal, Aydin Sezgin

We further analyze the best choice for the training SNR as a function of the test SNR, and observe dramatic changes in the behavior of this function for different angle ranges.

Direction of Arrival Estimation

Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry

no code implementations15 Jul 2020 Kashmira Shinde, Jong-Seok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel

This paper presents an end-to-end multi-modal learning approach for monocular Visual-Inertial Odometry (VIO), which is specifically designed to exploit sensor complementarity in the light of sensor degradation scenarios.

Inductive Bias

Characterization of Dielectric Materials by Sparse Signal Processing with Iterative Dictionary Updates

no code implementations16 Jun 2020 Udaya S. K. P. Miriya Thanthrige, Jan Barowski, Ilona Rolfes, Daniel Erni, Thomas Kaiser, Aydin Sezgin

Since the number of reflections coming from the MUT is limited, we propose sparse signal processing (SSP) to decompose the reflected signal.

Deep Autoencoders for DOA Estimation of Coherent Sources using Imperfect Antenna Array

no code implementations6 May 2020 Aya Mostafa Ahmed, Omar Eissa, Aydin Sezgin

In this paper a robust algorithm for DOA estimation of coherent sources in presence of antenna array imperfections is presented.

Position

Uplink-Downlink Tradeoff in Secure Distributed Matrix Multiplication

no code implementations30 Oct 2019 Jaber Kakar, Anton Khristoforov, Seyedhamed Ebadifar, Aydin Sezgin

To find a good balance between these two metrics, we propose two schemes which we term USCSA and GSCSA that are based on secure cross subspace alignment (SCSA).

Supervised Learning Based Super-Resolution DoA Estimation Utilizing Antenna Array Extrapolation

no code implementations6 Sep 2019 Udaya Sampath K. P. Miriya Thanthrige, Aya Mostafa Ahmed, Aydin Sezgin

In this paper, we introduce a novel algorithm that can dramatically reduce the number of antenna elements needed to accurately predict the direction of arrival (DOA) for multiple input multiple output (MIMO) radar.

Dictionary Learning Super-Resolution

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