Physical Layer Design for 6G mmWave/THz Integrated Sensing and Communications

Signal Processing and Machine Learning (SPML) Research Lab @Istinye University offers expertise in the design of next generation wireless communication systems on:
• Physical layer design
• Joint communication and sensing
• Millimeter-wave/terahertz-band transceiver design
• Reconfigurable intelligent surfaces
• Radar systems and direction-of-arrival estimation
• Localization and remote sensing
• Machine learning/artificial intelligence for the physical layer

Relevant Publications:
• A. M. Elbir, K. V. Mishra, S. Chatzinotas, M. Bennis, "Terahertz-Band Integrated Sensing and Communications: Challenges and Opportunities", IEEE Aerospace and Electronic Systems Magazine, 2024
• A. M. Elbir, K. V. Mishra, M. R. B. Shankar and S. Chatzinotas, "The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms", IEEE Network, 2023
• A. M. Elbir, K. V. Mishra, S. A. Vorobyov, R. W. Heath Jr, "Twenty-Five Years of Advances in Beamforming: From Convex and Nonconvex Optimization to Learning Techniques", IEEE Signal Processing Magazine, 2023
• A. M. Elbir, S. Coleri, A. K. Papazafeiropoulos, P. Kourtessis and S. Chatzinotas , "A Hybrid Architecture for Federated and Centralized Learning ", IEEE Transactions on Cognitive Communications and Networking, 2022
• A. M. Elbir, K. V. Mishra, M. R. B. Shankar and B. Ottersten, "A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO", IEEE Transactions on Cognitive Communications and Networking, 2022
• A. M. Elbir, K. V. Mishra and S. Chatzinotas, "Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming", IEEE Journal of Selected Topics in Signal Processing, 2021