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eess.SP2026
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…
eess.SP2026
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…
cs.LG2026
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…