Zhong-Nian Li

Multimodal Learning for V2V Beam Prediction: Do Large Language Models Always Help?

Accurate future beam prediction is essential for millimeter-wave (mmWave) vehicle-to-vehicle (V2V) communications under highly dynamic mobility. This paper studies dualmodal V2V future beam prediction using camera and GPS inputs. In particular, it focuses on whether large language models (LLMs) consistently help improv...