no code implementations • 3 Feb 2020 • Niloofar Mehrnia, Sinem Coleri
A key building block in the design of ultra-reliable communication systems is a wireless channel model that captures the statistics of rare events occurring due to significant fading.
no code implementations • 3 Feb 2020 • Bugra Turan, Sinem Coleri
Current OWC channel models based on deterministic and stochastic methods, fail to address mobility induced ambient light, optical turbulence and road reflection effects on channel characterization.
no code implementations • 3 Feb 2020 • Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri
In this paper, we propose a novel minimum length scheduling problem to determine the optimal power control, time allocation and transmission schedule subject to data, energy causality and maximum transmit power constraints in a full-duplex wireless powered communication network.
no code implementations • 20 May 2020 • Ahmet M. Elbir, Sinem Coleri
In this work, we introduce a federated learning (FL) based framework for hybrid beamforming, where the model training is performed at the BS by collecting only the gradients from the users.
no code implementations • 2 Jun 2020 • Ahmet M. Elbir, Burak Soner, Sinem Coleri, Deniz Gunduz, Mehdi Bennis
Machine learning (ML) has recently been adopted in vehicular networks for applications such as autonomous driving, road safety prediction and vehicular object detection, due to its model-free characteristic, allowing adaptive fast response.
no code implementations • 25 Aug 2020 • Ahmet M. Elbir, Sinem Coleri
Channel estimation via ML requires model training on a dataset, which usually includes the received pilot signals as input and channel data as output.
no code implementations • 15 Oct 2020 • Ahmet M. Elbir, Gokhan Gurbilek, Burak Soner, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, Sinem Coleri
As a worldwide pandemic, the coronavirus disease-19 (COVID-19) has caused serious restrictions in people's social life, along with the loss of lives, the collapse of economies and the disruption of humanitarian aids.
1 code implementation • 19 Oct 2020 • Burak Soner, Merve Karakas, Utku Noyan, Furkan Sahbaz, Sinem Coleri
Recently, positioning based on visible light communication signals from vehicle head/tail LED lights (VLP) has shown significant promise as a complementary method attaining cm-level accuracy and near-kHz rate in realistic driving scenarios.
no code implementations • 13 Nov 2020 • Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra
We address this through a novel hybrid federated and centralized learning (HFCL) framework to effectively train a learning model by exploiting the computational capability of the clients.
no code implementations • 20 Jan 2021 • Muhammad Shahid Iqbal, Yalcin Sadi, Sinem Coleri
In this paper, we investigate a novel minimum length scheduling problem to determine the optimal power control, and scheduling for constant and continuous rate models, while considering concurrent transmission of users, energy causality, maximum transmit power and traffic demand constraints.
no code implementations • 15 Feb 2021 • Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra
Then, we leverage federated learning (FL) with dropout learning (DL) to train a learning model on the local dataset of users, who estimate the beamformers by feeding the model with their channel data.
no code implementations • 23 Apr 2021 • Niloofar Mehrnia, Sinem Coleri
In this paper, we propose a methodology based on EVT to model the extreme events of a non-stationary wireless channel for the ultra-reliable regime of operation.
no code implementations • 7 May 2021 • Ahmet M. Elbir, Sinem Coleri, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, Symeon Chatzinotas
To address this common scenario, we propose a more efficient approach called hybrid federated and centralized learning (HFCL), wherein only the clients with sufficient resources employ FL, while the remaining ones send their datasets to the PS, which computes the model on behalf of them.
no code implementations • 20 Nov 2021 • Bugra Turan, O. Nuri Koc, Emrah Kar, Sinem Coleri
In this paper, to investigate both time-correlated and white noise components of the V-VLC channel, we propose a noise analysis based on Allan variance (AVAR), which provides a time-series analysis method to identify noise from the data.
no code implementations • 22 Nov 2021 • Bugra Turan, Omer Narmanlioglu, Osman Nuri Koc, Emrah Kar, Sinem Coleri, Murat Uysal
We propose a distance-based NLoS V-VLC channel path loss model considering reflection surface characteristics and NLoS V-VLC channel impulse response (CIR) incorporating the temporal broadening effect due to vehicle reflections through weighted double gamma function.
no code implementations • 6 May 2022 • Ahmet M. Elbir, Sinem Coleri, Kumar Vijay Mishra
Channel estimation is a critical task in intelligent reflecting surface (IRS)-assisted wireless systems due to the uncertainties imposed by environment dynamics and rapid changes in the IRS configuration.
1 code implementation • 21 Aug 2023 • Burak Soner, Sinem Coleri
Vehicular visible light positioning (VLP) methods find relative locations of vehicles by estimating the positions of intensity-modulated head/tail lights of one vehicle (target) with respect to another (ego).
no code implementations • 28 Nov 2023 • Hamida Qumber Ali, Amirhassan Babazadeh Darabi, Sinem Coleri
In the optimization theory stage, following the formulation of the joint optimization problem, optimality conditions are derived to find the mathematical relations between the optimal values of the decision variables.
no code implementations • 12 Jan 2024 • Parmida Valiahdi, Sinem Coleri
This paper explores a novel methodology integrating Extreme Value Theory (EVT) and Generative Adversarial Networks (GANs) to achieve the precise channel modeling in real-time.
1 code implementation • 18 Jan 2024 • M. Saeid HaghighiFard, Sinem Coleri
The usage of federated learning (FL) in Vehicular Ad hoc Networks (VANET) has garnered significant interest in research due to the advantages of reducing transmission overhead and protecting user privacy by communicating local dataset gradients instead of raw data.
no code implementations • 3 Feb 2024 • Aysun Gurur Onalan, Berkay Kopru, Sinem Coleri
We first obtain the optimal solution to the scheduling and power control problem for the given relay selection.