Search Results - "Yapar, Cagkan"

RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks by Levie, Ron, Yapar, Cagkan, Kutyniok, Gitta, Caire, Giuseppe

“…In this paper we propose a highly efficient and very accurate deep learning method for estimating the propagation pathloss from a point <inline-formula>…”
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Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach by Yapar, Cagkan, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…Global Navigation Satellite Systems typically perform poorly in urban environments, where the likelihood of line-of-sight conditions between devices and…”
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LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning by Yapar, Cagkan, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…This paper deals with the problem of localization in a cellular network in a dense urban scenario. Global Navigation Satellite Systems (GNSS) typically perform…”
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Overview of the First Pathloss Radio Map Prediction Challenge by Yapar, Cagkan, Jaensch, Fabian, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…Pathloss quantifies the reduction in power density of a signal radiated from a transmitter. The attenuation is due to large-scale effects such as free-space…”
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Spatially Scalable Lossy Coded Caching by Bayat, Mozhgan, Yapar, Cagkan, Caire, Giuseppe

“…We apply the coded caching scheme proposed by Maddah-Ali and Niesen to a multipoint multicasting video paradigm. Partially caching the video files on the…”
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On the Optimality of D2D Coded Caching With Uncoded Cache Placement and One-Shot Delivery by Yapar, Cagkan, Wan, Kai, Schaefer, Rafael F., Caire, Giuseppe

“…We consider a cache-aided wireless device-to-device (D2D) network of the type introduced by Ji et al., where the placement phase is orchestrated by a central…”
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On D2D Caching with Uncoded Cache Placement by Yapar, Cagkan, Wan, Kai, Schaefer, Rafael F., Caire, Giuseppe

“…We consider a cache-aided wireless device-to-device (D2D) network under the constraint of one-shot delivery, where the placement phase is orchestrated by a…”
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The First Pathloss Radio Map Prediction Challenge by Yapar, Cagkan, Jaensch, Fabian, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…To foster research and facilitate fair comparisons among recently proposed pathloss radio map prediction methods, we have launched the ICASSP 2023 First…”
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Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling by Levie, Ron, Yapar, Cagkan, Kutyniok, Gitta, Caire, Giuseppe

“…In this paper we propose a highly efficient and very accurate method for estimating the propagation pathloss from a point x to all points y on the 2D plane…”
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Fast compressive phase retrieval from Fourier measurements by Yapar, Cagkan, Pohl, Volker, Boche, Holger

“…This paper considers the problem of recovering a k-sparse, N-dimensional complex signal from Fourier magnitude measurements. It proposes a Fourier optics setup…”
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A phase retrieval method for signals in modulation-invariant spaces by Pohl, Volker, Yapar, Cagkan, Boche, Holger, Yang, Fanny

“…This paper considers the problem of signal recovery from magnitude measurements for signals in modulation invariant spaces. It proposes a measurement setup…”
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Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models by Bakirtzis, Stefanos, Yapar, Cagkan, Fiore, Marco, Zhang, Jie, Wassell, Ian

“…The efficient deployment and operation of any wireless communication ecosystem rely on knowledge of the received signal quality over the target coverage area…”
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Overview of the Urban Wireless Localization Competition by Yapar, Cagkan, Jaensch, Fabian, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…In dense urban environments, Global Navigation Satellite Systems do not provide good accuracy due to the low probability of line-of-sight (LOS) between the…”
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Demucs for Data-Driven RF Signal Denoising by Yapar, Cagkan, Jaensch, Fabian, Hauffen, Jan C., Pezone, Francesco, Jung, Peter, Dehkordi, Saeid K., Caire, Giuseppe

“…In this paper, we present our radio frequency signal denoising approach, RFDEMUCS, 1 for the 2024 IEEE ICASSP RF Signal Separation Challenge. Our approach is…”
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Information Bottleneck for an Oblivious Relay with Channel State Information: the Scalar Case by Caire, Giuseppe, Shamai, Shlomo, Tulino, Antonia, Verdu, Sergio, Yapar, Cagkan

“…We consider an extension of the information bottleneck problem where underlying Markov Chain is X-0-(Y,\ S)-0-Z, and where P_{X,S,Y}=P_{X}P_{S}P_{Y|X,S} is the…”
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The First Pathloss Radio Map Prediction Challenge by Yapar, Çağkan, Jaensch, Fabian, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…To foster research and facilitate fair comparisons among recently proposed pathloss radio map prediction methods, we have launched the ICASSP 2023 First…”
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Spatially Scalable Lossy Coded Caching by Bayat, Mozhgan, Yapar, Çağkan, Caire, Giuseppe

“…We apply the coded caching scheme proposed by Maddah-Ali and Niesen to a multipoint multicasting video paradigm. Partially caching the video files on the…”
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On the Effective Usage of Priors in RSS-based Localization by Yapar, Çağkan, Jaensch, Fabian, Levie, Ron, Caire, Giuseppe

“…In this paper, we study the localization problem in dense urban settings. In such environments, Global Navigation Satellite Systems fail to provide good…”
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Dataset of Pathloss and ToA Radio Maps With Localization Application by Yapar, Çağkan, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…In this article, we present a collection of radio map datasets in dense urban setting, which we generated and made publicly available. The datasets include…”
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LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning by Yapar, Çağkan, Levie, Ron, Kutyniok, Gitta, Caire, Giuseppe

“…This paper deals with the problem of localization in a cellular network in a dense urban scenario. Global Navigation Satellite Systems (GNSS) typically perform…”
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