Knowledge Distillation for mmWave Beam Prediction Using Sub-6 GHz Channels

arXiv:2602.04703 · eess.SP, cs.LG · Submitted 2026-02-04 · Read on arXiv

eess.SP, cs.LG

Submitted: 2026-02-04

Updated: 2026-02-04

Comments: 5 pages, 4 figures. Accepted for publication at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026

Journal ref: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 22642-22646, 2026

DOI: 10.1109/ICASSP55912.2026.11461506

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Distillation — 26× in this paper · explained in 2 episodes
• Knowledge Distillation — 15× in this paper · explained in 11 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Self-distillation — 5× in this paper · explained in 6 episodes
• Signal-to-noise ratio (SNR) — 1× in this paper · explained in 2 episodes

Sources

• Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework
• Distilling the Knowledge in a Neural Network

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