activity
20182020
collaborators

7 papers

eess.SP2020

Deep Learning-based Phase Reconfiguration for Intelligent Reflecting Surfaces

Özgecan Özdogan, Emil Björnson

Intelligent reflecting surfaces (IRSs), consisting of reconfigurable metamaterials, have recently attracted attention as a promising cost-effective technology that can bring new fe…

cs.IT2020

Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions

Emil Björnson, Özgecan Özdogan, Erik G. Larsson

The search for physical-layer technologies that can play a key role in beyond-5G systems has started. One option is reconfigurable intelligent surfaces (RIS), which can collect wir…

eess.SP2020

Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications

Özgecan Özdogan, Emil Björnson, Erik G. Larsson

An intelligent reflecting surface (IRS), consisting of reconfigurable metamaterials, can be used to partially control the radio environment and thereby bring new features to wirele…

physics.app-ph2019

Intelligent Reflecting Surfaces: Physics, Propagation, and Pathloss Modeling

Özgecan Özdogan, Emil Björnson, Erik G. Larsson

Intelligent reflecting surfaces can improve the communication between a source and a destination. The surface contains metamaterial that is configured to "reflect" the incident wav…

cs.IT2019

Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts

Özgecan Özdogan, Emil Björnson, Jiayi Zhang

In this paper, we study the uplink (UL) and downlink (DL) spectral efficiency (SE) of a cell-free massive multiple-input-multiple-output (MIMO) system with Rician fading channels.…

cs.IT2018

Uplink Spectral Efficiency of Massive MIMO with Spatially Correlated Rician Fading

Özgecan Özdogan, Emil Björnson, Erik G. Larsson

This paper considers the uplink (UL) of a multi-cell Massive MIMO (multiple-input multiple-output) system with spatially correlated Rician fading channels. The channel model is com…