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.
Chunk-based resource allocation in OFDMA systems – part II: Joint chunk, power and bit allocation,
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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.