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20192026
most citedChannel Estimation under Hardware Impairments: Bayesian Methods versus Deep Learning

16 citations · 34 across the 29 of their papers we have counts for

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eess.SP2026

Uplink Hardware Impairments in OFDM-Based Cell-Free Massive MIMO With Impaired Wireless Fronthaul

Özlem Tuğfe Demir

This paper studies the uplink performance of OFDM-based cell-free massive MIMO systems in the presence of hardware impairments affecting both low-cost access points and wireless fr…

eess.SP2026

Dual-polarized RIS versus dual-polarized network-controlled repeater

Özlem Tuğfe Demir

We study the achievable rate performance of dual-polarized passive reconfigurable intelligent surfaces (RISs) and dual-polarized network-controlled repeaters (NCRs) in a point-to-p…

eess.SP2026

Energy-Efficient Integrated Access and Fronthaul for Cell-Free Massive MIMO with Adaptive Quantization Resolution

Özlem Tuğfe Demir

Cell-free massive MIMO with wireless fronthaul is a promising architecture for energy-efficient 6G networks, but the access and fronthaul links must then share the same scarce spec…

eess.SP2026

Performance Analysis for ISAC Systems with 1-bit DACs

Murat Babek Salman, Özlem Tugfe Demir, Emil Björnson

Low-resolution quantization constrains the maximum achievable gains of multiple-input multiple-output (MIMO) systems. While the adverse effects and mitigation strategies have been…

eess.SP2026

Learning Energy-Efficient Modular Arrays under Hardware Non-linearities

Özlem Tuğfe Demir, Alva Kosasih

This paper investigates the joint optimization of power allocation and antenna activation in sparse extremely large aperture array systems operating under power amplifier non-linea…

eess.SP2026

Stream-Adaptive Quantization and Power Allocation in Fronthaul-Constrained MIMO Systems

Özlem Tuğfe Demir, Emil Björnson

Many wireless systems divide the baseband processing between two locations, interconnected by a fronthaul. This paper examines the impact of fronthaul quantization on multiple-inpu…