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Tue 17 Jun | 10:10 - 11:50
215
AI for Device, DPD and RF System Design
This session showcases advances in the intersection between AI and RF systems. Highlights include AI-enabled device-level modeling and characterization, power amplifier digital predistortion, and system-level transceiver optimization.
10:10 - 10:30
Tu2E-1 An Embedded-Structured Convolutional Neural Network for Efficient RF Device Behavior Model Extraction
10:30 - 10:50
Tu2E-2 DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion
10:50 - 11:10
Tu2E-3 Enhancing Digital Predistortion Performance Under Load Mismatch Using a VSWR Generative Neural Network Simulator
11:10 - 11:20
Tu2E-4 Recurrent Neural Network Modeling of Radio Frequency Amplifiers for System-Level Simulation and Design
11:20 - 11:30
Tu2E-5 Calibration of Wideband Multiport Junction Receivers Using Memory-Polynomial-Informed Neural Network
11:30 - 11:50
Tu2E-6 AdaAFE-CIM: A Hardware Implementation of Subspace Tracking for Adaptive Radar Data Compression