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PCNI
The Pervasive Connectivity and Networked Intelligence (PCNI) group is a research group at Peking University working on communications-AI deep integration.
LLM4WM. Python
523LLM4CP. MATLAB
246SynthSoM. Python
107WiFo. Python
94WiFo-CF. Python
77DRL-ISAC. Source code of IEEE TCOM paper: Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks With Double Dynamics.
35FM4SoM. Python
30S-IM-OFDM. Source code of IEEE TVT paper: Superposed IM-OFDM (S-IM-OFDM) : An enhanced OFDM waveform for Integrated Sensing and Communications (ISAC).
19Proactive-Beamforming-MMFF. Python
18SoM2025-baseline. Python
11WiFo-2.
7CSI-Learning-LECLN. Python
5llm4amc. Python
5Tiny-WiFo. Python
4SoM-MIMO. Python
2WiCo-MG. Python
2SoM-DCAT. Official implementation of the paper "Synesthesia of Machines (SoM)-Empowered Wireless Image Transmission over Time-varying Dynamic Channel"
2LLM4PG. Python
2H-MVMM-Online-Precoding.
1Synesthesia-of-Machines-COMST. Python
1Multi-Modal-Sensing-Data-Based-Real-Time-Path-Loss-Prediction-for-6G-UAV-to-Ground-Communications. Python
1H-MVMM-Precoding. Python
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