Beam prediction based on large language models, IEEE Wireless Communications Letters
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Nov 27, 2025 - Python
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beam-prediction
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Real-world mmWave beam prediction on 112,189 DeepSense 6G V2V measurements. Compares CNN, LSTM, RNN, SVM, Random Forest, and DQN; Random Forest beats every deep model at 22.6% top-1.
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Jul 13, 2026 - Jupyter Notebook
LoRA fine-tuning of the LWM wireless foundation model for 64-beam mmWave prediction across three DeepMIMO scenarios. Rank-4 adapters (4.82% of parameters) match full fine-tuning within 0.3 points on cross-scenario transfer.
transformers pytorch lora wireless-communications mmwave peft onnx deepmimo foundation-model beam-prediction
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Jul 13, 2026 - Jupyter Notebook
AI-powered 6G beam prediction using Deep Residual MLPs. Predicts optimal antenna beams from UE coordinates with 87.9% accuracy, eliminating exhaustive beam sweeping.
python machine-learning deep-learning signal-processing pytorch neural-networks telecommunications wireless-communications massive-mimo 6g deepmimo beam-prediction
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Jun 11, 2026 - Jupyter Notebook
Robust camera-radar-LiDAR-GPS fusion for millimeter-wave beam prediction under missing sensor inputs.
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Jul 21, 2026 - Python
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