How to make images less power-hungry. An objective benchmark study

Data-Driven Subsampling in the Presence of an Adversarial Actor

RESEARCH PAPER / May 2024 / ["Machine learning/ Deep learning /Artificial Intelligence", "Security", "Wireless communication"]

Deep learning based automatic modulation classification (AMC) has received significant attention owing to its potential applications in both military and civilian use cases. Recently, data-driven subsampling techniques have been utilized to overcome the challenges associated with computational complexity and training time for AMC. Beyond these direct advantages of data-driven subsampling,...

Real-Time AI-Enabled CSI Feedback Experimentation with Open RAN

RESEARCH PAPER / Jan 2024 / ["Machine learning/ Deep learning /Artificial Intelligence", "5G", "Wireless communication"]

"Abstract—3rd Generation Partnership Project (3GPP) Release 18 has initiated a comprehensive study of Artificial Intelligence (AI)/Machine Learning (ML) use cases for Air Interface, e.g., Channel State Information (CSI) feedback enhancement, beam management, and positioning accuracy enhancement. In order to advance the adoption of AI/ML in 5G and towards 6G, it...

Enabling emerging applications in 5G through UE assisted proactive PHY frame configuration

RESEARCH PAPER / Sep 2024 / ["5G", "Wireless communication"]

Abstract—Ubiquitous connectivity is vital for emerging appli cations like extended reality, factory automation, and robotics, necessitating low latency, high data rates, and reliability in both downlink and uplink. From the network protocol perspective, successfully supporting these new use cases hinges on the network being resilient enough to address the heterogeneous...

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