Sensing-Assisted Adaptive Beam Probing with Calibrated Multimodal Priors and Uncertainty-Aware Scheduling

Abidemi Orimogunje; Vukan Ninkovic; Ognjen Kundacina; Hyunwoo Park; Sunwoo Kim; Dejan Vukobratovic; Evariste Twahirwa; Gaspard Gashema

arXiv · 2603.24024

Sensing-Assisted Adaptive Beam Probing with Calibrated Multimodal Priors and Uncertainty-Aware Scheduling

Abidemi Orimogunje·Vukan Ninkovic·Ognjen Kundacina·Hyunwoo Park·Sunwoo Kim·Dejan Vukobratovic·Evariste Twahirwa·Gaspard Gashema

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Abstract

Highly directional mmWave/THz links require rapid beam alignment, yet exhaustive codebook sweeps incur prohibitive training overhead. This letter proposes a sensing-assisted adaptive probing policy that maps multimodal sensing (radar/LiDAR/camera) to a calibrated prior over beams, predicts per-beam reward with a deep Q-ensemble whose disagreement serves as a practical epistemic-uncertainty proxy, and schedules a small probe set using a Prior-Q upper-confidence score. The probing budget is adapted from prior entropy, explicitly coupling sensing confidence to communication overhead, while a margin-based safety rule prevents low signal-to-noise ratio (SNR) locks. Experiments on DeepSense-6G (train: scenarios 42 and 44; test:43) with a 21-beam discrete Fourier transform (DFT) codebook achieve Top-1/Top-3 of 0.81/0.99 with expected beam probe of 2 per sweep and zero observed outages at {\theta} = 0 dB with margin {\Delta} = 3 dB. The results show that multimodal priors with ensemble uncertainty match link quality and improve reliability compared to ablations while cutting overhead with better predictive model.

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BibTeX RIS

Abidemi Orimogunje, Vukan Ninkovic, Ognjen Kundacina, Hyunwoo Park, Sunwoo Kim, Dejan Vukobratovic, Evariste Twahirwa, Gaspard Gashema. 2026-03-25. Sensing-Assisted Adaptive Beam Probing with Calibrated Multimodal Priors and Uncertainty-Aware Scheduling. https://arxiv.org/abs/2603.24024

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