activity
20172021
collaborators

7 papers

cs.IT2021

A Reinforcement Learning Approach for Scheduling in mmWave Networks

Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli +1

We consider a source that wishes to communicate with a destination at a desired rate, over a mmWave network where links are subject to blockage and nodes to failure (e.g., in a hos…

cs.IT2021

On optimal relay placement in directional networks

Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli

In this paper, we study the problem of optimal topology design in wireless networks equipped with highly-directional transmission antennas. We use the 1-2-1 network model to charac…

cs.IT2020

Gaussian 1-2-1 Networks with Imperfect Beamforming

Yahya H. Ezzeldin, Martina Cardone, Christina Fragouli +1

In this work, we study bounds on the capacity of full-duplex Gaussian 1-2-1 networks with imperfect beamforming. In particular, different from the ideal 1-2-1 network model introdu…

cs.LG2019

On Distributed Quantization for Classification

Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour +2

We consider the problem of distributed feature quantization, where the goal is to enable a pretrained classifier at a central node to carry out its classification on features that…

cs.IT2019

Polynomial-time Capacity Calculation and Scheduling for Half-Duplex 1-2-1 Networks

Yahya H. Ezzeldin, Martina Cardone, Christina Fragouli +1

This paper studies the 1-2-1 half-duplex network model, where two half-duplex nodes can communicate only if they point `beams' at each other; otherwise, no signal can be exchanged…

cs.IT2017

Wireless Network Simplification: The Performance of Routing

Yahya H. Ezzeldin, Ayan Sengupta, Christina Fragouli

Consider a wireless Gaussian network where a source wishes to communicate with a destination with the help of N full-duplex relay nodes. Most practical systems today route informat…