WARP Lab · Dankook University

Research

Intelligent wireless systems, studied through algorithms, simulation, and experiment.

Our work connects wireless AI and radio perception with the realities of radio hardware. Signal processing, optimization, and machine learning form the algorithmic foundation; over-the-air prototypes, software-defined radio platforms, and realistic simulations provide the means to evaluate it.

AI Wireless Systems

Learning and signal processing for intelligent, programmable radio systems.

System architecture connecting neural encoders and decoders with a MIMO-OFDM testbed — IEEE WCM 2025 - Fig. 2

We explore how AI can interact with communication, sensing, and radio resource management on open and programmable RAN platforms. Our interests include AI-RAN and learning-driven approaches that connect wireless algorithms with practical system operation.

Radio Perception

Integrated sensing and communication, from waveforms to over-the-air experiments.

OFDM uplink ISAC experimental setup, signal-processing workflow, and validation results — IEEE WCL 2026 - Fig. 3

We study integrated sensing and communication (ISAC) as a key application of next-generation wireless systems. Topics include near-field operation, wideband beamforming, OFDM sensing, and RF impairments, with interests extending toward satellite communications and synthetic aperture radar.

Wireless Platforms

Low-complexity algorithms tested on software-defined radios and realistic simulations.

Zero-IF full-duplex testbed with two USRPs, power amplifiers, and measurement displays — IEEE IoT Journal · Fig. 12

We develop signal processing and optimization methods that can be tested on real radio platforms. Our work includes nonlinear self-interference cancellation and flexible duplex systems, connecting algorithms to over-the-air prototypes and system-level simulations.

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