5 papers
Efficient Upper Mid-Band Spectrum Sensing with Multiple Signals
Yongjun Kim, Ali Rasteh, Sundeep Rangan +1
Spectrum sensing is a fundamental problem in the upper mid-band, where spectrum resources are shared with incumbent systems. This paper considers frequency-domain occupancy estimat…
A Self-Calibrating SDR for High Fidelity Beam- and Null-forming Arrays
Yongjun Kim, Aditya Dhananjay, Sundeep Rangan +5
Null forming is increasingly essential in modern wireless systems for spectrum-sharing, anti-jamming, and covert communications in contested and congested environments. Achieving d…
Hybrid Federated Learning for Noise-Robust Training
Yongjun Kim, Hyeongjun Park, Hwanjin Kim +1
Federated learning (FL) and federated distillation (FD) are distributed learning paradigms that train UE models with enhanced privacy, each offering different trade-offs between no…
Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation
Yongjun Kim, Jihong Park, Mehdi Bennis +1
Neural network-based medium access control (MAC) protocol models (NPMs) improve goodput through site-specific operations but are vulnerable to shifts from their training network en…
Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control
Yongjun Kim, Sejin Seo, Jihong Park +3
In this work, we compare emergent communication (EC) built upon multi-agent deep reinforcement learning (MADRL) and language-oriented semantic communication (LSC) empowered by a pr…