activity
20202026
most citedEnabling 6G Performance in the Upper Mid-Band by Transitioning From Massive to Gigantic MIMO

64 citations · 73 across the 9 of their papers we have counts for

collaborators

11 papers

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

Pilot-Free Predictive Multi-User Beamforming via Sensing Management in Cell-Free Networks

Eren Berk Kama, Murat Babek Salman, Isaac Skog +1

This paper presents a sensing management frame- work for integrated sensing and communications (ISAC) within cell-free massive multiple-input multiple-output (MIMO) systems to redu…

eess.SP2025

Hardware Distortion Aware Precoding for ISAC Systems

Murat Babek Salman, Emil Björnson, Özlem Tugfe Demir

The impact of hardware impairments on the spectral efficiency of communication systems is well studied, but their effect on sensing performance remains unexplored. In this paper, w…

cs.IT2025

Experimental Validation of Reflective Near-Field Beamfocusing using a b-bit RIS

Emil Björnson, Murat Babek Salman

This paper presents the first experimental validation of reflective near-field beamfocusing using a reconfigurable intelligent surface (RIS). While beamfocusing has been theoretica…

eess.SP2025

Sensing Management for Pilot-Free Predictive Beamforming in Cell-Free Massive MIMO Systems

Eren Berk Kama, Murat Babek Salman, Isaac Skog +1

This paper introduces a sensing management method for integrated sensing and communications (ISAC) in cell-free massive multiple-input multiple-output (MIMO) systems. Conventional…

eess.SP2025

DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar

Murat Babek Salman, Emil Björnson

Sensing emerges as a critical challenge in 6G networks, which require simultaneous communication and target sensing capabilities. State-of-the-art super-resolution techniques for t…

cs.IT2024★ 64 cited

Enabling 6G Performance in the Upper Mid-Band by Transitioning From Massive to Gigantic MIMO

Emil Björnson, Ferdi Kara, Nikolaos Kolomvakis +3

The initial 6G networks will likely operate in the upper mid-band (7-24 GHz), which has decent propagation conditions but underwhelming new spectrum availability. In this paper, we…

cs.IT2023★ 8 cited

Analytical Nonlinear Distortion Characterization for Frequency-Selective Massive MIMO Channels

Murat Babek Salman, Emil Björnson, Gokhan Muzaffer Guvensen +1

Nonlinear distortion stemming from low-cost power amplifiers may severely affect wireless communication performance through out-of-band (OOB) radiation and in-band distortion. The…

eess.SP2021

Derivative Based Proportionate Approach for Sparse Impulse Response Identification

Murat Babek Salman, Tolga Ciloglu

Proportionate type algorithms were developed and excessively used in the echo cancellation problems due to sparse characteristics of the echo channels. In the past, most of the att…

cs.IT2020

An Efficient QAM Detector via Nonlinear Post-distortion based on FDE Bank under PA Impairments

Murat Babek Salman, Gokhan Muzaffer Guvensen

In this paper, we propose a novel receiver structure for single-carrier transmission with frequency domain equalization (FDE) that is exposed to power amplifier (PA) nonlinearities…

cs.IT2020★ 1 cited

A Comprehensive Performance Analysis for mm-Wave Massive MIMO Hybrid Beamforming under PA Nonlinearities

Murat Babek Salman, Gokhan Muzaffer Guvensen

In this paper, we develop a framework to investigate the performances of different hybrid beamforming architectures for massive multiple input multiple output (MIMO) systems impair…