activity
20192026
most citedIdentification of Smart Jammers: Learning based Approaches Using Wavelet Representation

11 citations · 17 across the 24 of their papers we have counts for

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8 papers · 1 filter

cs.IT2026

Energy Saving for Cell-Free Massive MIMO Networks: A Multi-Agent Deep Reinforcement Learning Approach

Qichen Wang, Keyu Li, Ozan Alp Topal +3

This paper focuses on energy savings in downlink operation of cell-free massive MIMO (CF mMIMO) networks under dynamic traffic conditions. We propose a multi-agent deep reinforceme…

cs.IT2026

EARL: Energy-Aware Adaptive Antenna Control with Reinforcement Learning in O-RAN Cell-Free Massive MIMO Networks

Zilin Ge, Ozan Alp Topal, Irshad Ahmad Meer +2

Cell-free massive multi-input multi-output (MIMO) promises uniform high performance across the network, but also brings a high energy cost due to joint transmission from distribute…

cs.IT2025

Cell-free ISAC for Drone Detection Considering Coverage and Age of Sensing

Zinat Behdad, Ozan Alp Topal, Cicek Cavdar

The growing presence of unauthorized drones poses significant threats to public safety, underscoring the need for aerial surveillance solutions. This work proposes a cell-free inte…

cs.IT2025

Detecting Unauthorized Drones with Cell-Free Integrated Sensing and Communication

Xinyue Li, Zinat Behdad, Ozan Alp Topal +2

Integrated sensing and communication (ISAC) boosts network efficiency by using existing resources for diverse sensing applications. In this work, we propose a cell-free massive MIM…

cs.IT2024

Self-Sustainable Metasurface-Assisted mmWave Indoor Communication System

Zhenyu Li, Ozan Alp Topal, Özlem Tuğfe Demir +2

In the design of a metasurface-assisted system for indoor environments, it is essential to take into account not only the performance gains and coverage extension provided by the m…

cs.IT2024

Mixed Static and Reconfigurable Metasurface Deployment in Indoor Dense Spaces: How Much Reconfigurability is Needed?

Zhenyu Li, Ozan Alp Topal, Özlem Tuğfe Demir +2

In this paper, we investigate how metasurfaces can be deployed to deliver high data rates in a millimeter-wave (mmWave) indoor dense space with many blocking objects. These surface…

cs.IT2023★ 1 cited

mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces

Zhenyu Li, Ozan Alp Topal, Özlem Tuğfe Demir +2

In this work, we consider the deployment of reconfigurable intelligent surfaces (RISs) to extend the coverage of a millimeter-wave (mmWave) network in indoor dense spaces. We first…

cs.IT2022

mmWave Communications for Indoor Dense Spaces: Ray-Tracing Based Channel Characterization and Performance Comparison

Ozan Alp Topal, Mustafa Ozger, Dominic Schupke +2

In this paper, the indoor dense space (IDS) channel at 28 GHz is characterized through extensive Ray-Tracing (RT) simulations. We consider IDS as a specific type of indoor environm…