CRS-LLM reformulates cooperative mmWave beam tracking as joint BS-beam classification using a dual-view CSI tokenizer, truncated GPT backbone, and switch-gated predictor, reporting higher Top-1 accuracy than baselines in simulations.
Deep learning for physical-layer 5G wireless techniques: Opportunities, challenges and solutions,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CRS-LLM: Cooperative Beam Prediction with a GPT-Style Backbone and Switch-Gated Fusion
CRS-LLM reformulates cooperative mmWave beam tracking as joint BS-beam classification using a dual-view CSI tokenizer, truncated GPT backbone, and switch-gated predictor, reporting higher Top-1 accuracy than baselines in simulations.