most citedDeep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities

27 citations · 28 across the 3 of their papers we have counts for

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eess.SP2025★ 27 cited

Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities

Murat Temiz, Yongwei Zhang, Yanwei Fu +4

This article comprehensively reviews recent developments and research on deep learning-based (DL-based) techniques for integrated sensing and communication (ISAC) systems. ISAC, wh…

eess.SP2025

Affine Frequency Division Multiplexing with Subcarrier Power-Level Index Modulation for Integrated Sensing and Communications

Murat Temiz, Christos Masouros

This study proposes an index modulation (IM) technique for affine frequency division multiplexing (AFDM) signals and examines its communication and sensing performance toward integ…

eess.SP2025★ 1 cited

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC

Lai Jiang, Kaitao Meng, Murat Temiz +2

We propose two cooperative beamforming frameworks based on federated learning (FL) for multi-cell integrated sensing and communications (ISAC) systems. Our objective is to address…