3 citations · 3 across the 7 of their papers we have counts for
8 papers
Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches
Çağkan Yapar
Optimal wireless transmitter placement is a central task in radio-network planning, and exhaustive search becomes prohibitively expensive at scale. This paper studies the single-tr…
The First Indoor Pathloss Radio Map Prediction Challenge
Stefanos Bakirtzis, Çağkan Yapar, Kehai Qiu +2
To encourage further research and to facilitate fair comparisons in the development of deep learning-based radio propagation models, in the less explored case of directional radio…
Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
Stefanos Bakirtzis, Cagkan Yapar, Marco Fiore +2
The efficient deployment and operation of any wireless communication ecosystem rely on knowledge of the received signal quality over the target coverage area. This knowledge is typ…
Spatially Scalable Lossy Coded Caching
Mozhgan Bayat, Çağkan Yapar, Giuseppe Caire
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 wireless devices provides…
On D2D Caching with Uncoded Cache Placement
Çağkan Yapar, Kai Wan, Rafael F. Schaefer +1
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 central server. We assum…
On the Optimality of D2D Coded Caching with Uncoded Cache Placement and One-shot Delivery
Çağkan Yapar, Kai Wan, Rafael F. Schaefer +1
We consider a cache-aided wireless device-to-device (D2D) network of the type introduced by Ji, Caire, and Molisch [1], where the placement phase is orchestrated by a central serve…
Compressive phase retrieval of sparse bandlimited signals
Çağkan Yapar, Volker Pohl, Holger Boche
This contribution proposes a two stage strategy to allow for phase retrieval in state of the art sub-Nyquist sampling schemes for sparse multiband signals. The proposed strategy is…
Fast Compressive Phase Retrieval from Fourier Measurements
Çağkan Yapar, Volker Pohl, Holger Boche
This paper considers the problem of recovering a -sparse, -dimensional complex signal from Fourier magnitude measurements. It proposes a Fourier optics setup such that signal…