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eess.SP2025
Self-supervised Radio Representation Learning: Can we Learn Multiple Tasks?
Ogechukwu Kanu, Ashkan Eshaghbeigi, Hatem Abou-Zeid
Artificial intelligence (AI) is anticipated to play a pivotal role in 6G. However, a key challenge in developing AI-powered solutions is the extensive data collection and labeling…
eess.SP2025
ProtoBeam: Generalizing Deep Beam Prediction to Unseen Antennas using Prototypical Networks
Omar Mashaal, Elsayed Mohammed, Alec Digby +3
Deep learning techniques have recently emerged to efficiently manage mmWave beam transmissions without requiring time consuming beam sweeping strategies. A fundamental challenge in…