IEEE ComSoc SPCC-TC Online Talk Series

The IEEE ComSoc SPCC Technical Committee Online Talk Series brings researchers and practitioners together to discuss advances in signal processing and computing for communications. This session focuses on efficient machine learning techniques for integrated sensing and communications, addressing beamforming and system design challenges in large-scale, high-frequency wireless networks.

Representing 6G Flagship

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Nhan Nguyen (Assistant Professor, Centre for Wireless Communications, University of Oulu) Keynote speaker in the IEEE ComSoc SPCC-TC Online Talk Series session Model-Driven Machine Learning for Wireless Communications and ISAC Design, held online on 24 March 2026.

Abstract

Integrated sensing and communications (ISAC) is expected to become a fundamental capability of future wireless networks, enabling high-capacity communication and environmental awareness within a unified system.

Designing beamforming and waveforms for large-scale, high-frequency ISAC systems remains challenging due to joint sensing–communication objectives, hardware constraints on analogue beamformers and the overhead associated with beam training.

The talk introduces two efficient machine learning techniques for ISAC beamforming:

• Model-based deep unfolding
• Multimodal sensing with knowledge distillation

These approaches aim to reduce complexity while maintaining performance in practical next-generation wireless systems.

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24 March 2026
15:00 CET (Madrid) | 14:00 GMT (London) | 16:00 EET (Helsinki) | 09:00 EDT (New York) | 22:00 CST (Beijing)