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20212026
most citedSim2real for Reinforcement Learning Driven Next Generation Networks

2 citations · 7 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

Multi-Functional RIS-enabled Radar and Communication Coexistence: Channel Modeling and a Sub-6 GHz Indoor Measurement Campaign

Anton Tishchenko, Demos Serghiou, Hamidreza Taghvaee +5

In this work, we analyze a multi-functional reconfigurable intelligent surface (MF-RIS)-enabled radar and communication coexistence (RCC) system, detailing the key aspects of its p…

eess.SP2025

Advanced Closed-Loop Method with Limited Feedback for ISAC

Ashkan Jafari Fesharaki, Yasser Mestrah, Yi Ma +6

6G wireless networks are poised to seamlessly integrate communication, computing, localization, and sensing functionalities, ensuring high reliability and trustworthiness. This pap…

eess.SP2025

ISAC Channel Modelling -- Perspectives from ETSI

Mohammad Heggo, Arman Shojaeifard, Alain Mourad +3

Integrated Sensing and Communications (ISAC) is defined as one of six usage scenarios in the ITU-R International Mobile Telecommunications (IMT) 2030 framework for 6G. ISAC is envi…

eess.SP2022★ 2 cited

Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems using Deep Reinforcement Learning

Mahdi Eskandari, Huiling Zhu, Arman Shojaeifard +1

The paper presents a joint beamforming algorithm using statistical channel state information (S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless commu…

eess.SP2022★ 1 cited

Smart Interference Management xApp using Deep Reinforcement Learning

Mahdi Eskandari, Shipra Kapoor, Keith Briggs +3

Interference continues to be a key limiting factor in cellular radio access network (RAN) deployments. Effective, data-driven, self-adapting radio resource management (RRM) solutio…