collaborators

5 papers

eess.SP2026

BeamGuard: Risk-Aware Multimodal Beam Forecasting and Adaptive Virtual Beamwidth Control for 6G mmWave V2I Links

Abidemi Orimogunje, Dejan Vukobratovic, Sunwoo Kim +4

Reliable beam management is a central challenge for 6G millimeter-wave (mmWave) vehicle-to-infrastructure (V2I) links, where narrow beams provide high array gain but are vulnerable…

eess.SP2026

Multi-Chirp AFDM for Rydberg Atomic Quantum Receivers: Waveform and Algorithm Design

Hanvit Kim, Hyeon Seok Rou, Kihong Min +2

We propose a multi-chirp affine frequency division multiplexing (MC-AFDM) scheme for joint delay-Doppler estimation with Rydberg atomic quantum receivers (RAQRs). The work is motiv…

eess.SP2026

The Resurrection of Spectrum Spreading for 6G and Beyond: From Sinusoids to Chirps

Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Emil Björnson +2

Orthogonal frequency-division multiplexing (OFDM) and its sinusoidal subcarriers have underpinned the 4G and 5G eras, delivering high spectral efficiency and resilience to multipat…

cs.CV2026

End-to-end Feature Alignment: A Simple CNN with Intrinsic Class Attribution

Parniyan Farvardin, David Chapman

We present Feature-Align CNN (FA-CNN), a prototype CNN architecture with intrinsic class attribution through end-to-end feature alignment. Our intuition is that the use of unordere…

eess.SP2026

System-Level Comparison of Multimodal and In-Band mmWave Sensing for Beam Prediction in 6G ISAC

Abidemi Orimogunje, Hyunwoo Park, Igbafe Orikumhi +2

Integrated sensing and communication (ISAC) can reduce beam-training overhead in mmWave vehicle-to-infrastructure (V2I) links by enabling in-band sensing-based beam prediction, whi…