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

27 citations · 31 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2026

FMCW-Based Integrated Sensing and Communication System: Design, Implementation, and Experimental Measurements

Murat Temiz, Colin Horne, Matthew A. Ritchie +1

This study proposes a radar-centric integrated sensing and communication (ISAC) system utilizing a two-layer modulation scheme for vehicular networks. Frequency-modulated continuou…

eess.SP2026

Communication Security and Sensing Privacy in FMCW-Based ISAC Through Signal Modulation

Murat Temiz, Christos Masouros

This study proposes a novel radar-centric signaling design and architecture for secure integrated sensing and communication (ISAC) systems. The proposed framework is designed to pr…

eess.SP2026

ISAC for AI: A Trade-off Framework Across Data Acquisition and Transfer in Federated Learning

Lai Jiang, Kaitao Meng, Murat Temiz +1

In this paper, we propose a resource allocation framework for federated learning (FL) in integrated sensing and communication (ISAC) systems, where we consider not only the reliabi…

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★ 3 cited

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…

cs.LG2025

Electromagnetic Simulations of Antennas on GPUs for Machine Learning Applications

Murat Temiz, Vemund Bakken

This study proposes an antenna simulation framework powered by graphics processing units (GPUs) based on an open-source electromagnetic (EM) simulation software (gprMax) for machin…

eess.SP2025

Multi-Functional Chirp Signalling for Next-Generation Multi-Carrier Wireless Networks: Communications, Sensing and ISAC Perspectives

Zeping Sui, Qu Luo, Zilong Liu +6

To meet the increasingly demanding quality-of-service requirements of the next-generation multi-carrier mobile networks, it is essential to design multi-functional signalling schem…

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…