no code implementations • 11 May 2024 • Özlem Tuğfe Demir, Lianet Méndez-Monsanto, Nicola Bastianello, Emma Fitzgerald, Gilles Callebaut
Furthermore, we show that adopting a more distributed CF-mMIMO architecture is necessary to meet the data rate requirements.
no code implementations • 1 Apr 2024 • Özlem Tuğfe Demir, Emil Björnson
We introduce a new algorithm designed to optimize the configuration of the BD-RIS to maximize wideband capacity.
no code implementations • 12 Feb 2024 • Parisa Ramezani, Özlem Tuğfe Demir, Emil Björnson
Source localization is the process of estimating the location of signal sources based on the signals received at different antennas of an antenna array.
no code implementations • 5 Feb 2024 • Tianzhang Cai, Qichen Wang, Shuai Zhang, Özlem Tuğfe Demir, Cicek Cavdar
We develop a multi-agent reinforcement learning (MARL) algorithm to minimize the total energy consumption of multiple massive MIMO (multiple-input multiple-output) base stations (BSs) in a multi-cell network while preserving the overall quality-of-service (QoS) by making decisions on the multi-level advanced sleep modes (ASMs) and antenna switching of these BSs.
no code implementations • 31 Jan 2024 • Alva Kosasih, Özlem Tuğfe Demir, Emil Björnson
Accurate channel estimation is critical to fully exploit the beamforming gains when communicating with extremely large aperture arrays.
no code implementations • 27 Nov 2023 • Özlem Tuğfe Demir, Emil Björnson
However, when the BS is equipped with an extremely large aperture array, the Fraunhofer distance is huge, causing the UEs to be located in the radiative near-field region.
1 code implementation • 15 Jan 2023 • Özlem Tuğfe Demir, Meysam Masoudi, Emil Björnson, Cicek Cavdar
In this paper, we explore the performance and power consumption of cell-free massive MIMO technology in comparison with traditional small-cell systems, in the virtualized O-RAN architecture.
1 code implementation • 29 Aug 2022 • Shuaifei Chen, Jiayi Zhang, Emil Björnson, Özlem Tuğfe Demir, Bo Ai
In this paper, we propose a sparse distributed processing design for CF mMIMO, where the AP-UE association and long-term signal processing coefficients are jointly optimized.
no code implementations • 23 May 2022 • Özlem Tuğfe Demir, Emil Björnson, Luca Sanguinetti
A reconfigurable intelligent surface (RIS) can be used to improve the channel gain between a base station (BS) and user equipment (UE), but only if its $N$ reflecting elements are configured properly.
no code implementations • 18 Feb 2022 • Özlem Tuğfe Demir, Meysam Masoudi, Emil Björnson, Cicek Cavdar
This paper proposes a new cell-free architecture that can be implemented on top of a virtualized cloud radio access network (V-CRAN).
1 code implementation • 7 Sep 2021 • Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova
Further, we develop a clustered DNN model where the LSF parameters of a small number of APs, forming a cluster within a relatively large network, are used to jointly approximate the power coefficients of the cluster.
no code implementations • 4 May 2020 • Özlem Tuğfe Demir, Emil Björnson
The Bussgang decomposition is a popular tool for analyzing the performance of systems that involve such non-linear components.
1 code implementation • 19 Feb 2020 • Özlem Tuğfe Demir, Emil Björnson
The single-antenna user equipments (UEs) utilize the energy harvested in the downlink to transmit uplink pilot and information signals to the multiple-antenna access points (APs).
Information Theory Signal Processing Information Theory
no code implementations • 18 Dec 2019 • Peter Händel, Özlem Tuğfe Demir, Emil Björnson, Daniel Rönnow
We consider backward crosstalk in 2 x 2 transmitters, which is caused by crosstalk from the outputs of the transmitter to the inputs or by the combination of output crosstalk and impedance mismatch.