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    • 0000Updated Jan 5, 2026Jan 5, 2026
    • Official implementation of "RadioMamba: Breaking the Accuracy-Efficiency Trade-Off in Radio Map Construction Via a Hybrid Mamba-UNet"
      Python
      1710Updated Dec 10, 2025Dec 10, 2025
    • This is the code for "Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks" submitted to IEEE TMC. The code will come soon.
      Python
      0010Updated Dec 6, 2025Dec 6, 2025
    • This is the code for paper "RadioDiff- $k^2$ : Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction", accepted by IEEE JSAC.
      Python
      0700Updated Dec 6, 2025Dec 6, 2025
    • This is the code of "iRadioDiff: Physics Informed Diffusion Model for Effective Indoor Radio Map Construction and Localization" submitted to the IEEE ICC 2026.
      0510Updated Dec 6, 2025Dec 6, 2025
    • This is the dataset for UrbanRadio3D which is accepted by IEEE TNSE.
      22400Updated Dec 6, 2025Dec 6, 2025
    • RadioDiff

      Public
      This is the code for the paper "RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction", IEEE TCCN.
      Python
      2329610Updated Dec 6, 2025Dec 6, 2025
    • This repository serves as a curated collection of outstanding papers and code related to learning-based radio maps (RM), also referred to as channel knowledge maps (CKM).
      01500Updated Nov 27, 2025Nov 27, 2025
    • 西电UNIC实验室实习生成果展示站 —— 记录成长,见证创新
      HTML
      412100Updated Nov 10, 2025Nov 10, 2025
    • RadioMapMotion

      Public
      temp proj
      0010Updated Oct 11, 2025Oct 11, 2025
    • OST

      Public
      This is the code for paper "On-Demand Multimedia Delivery in 6G: A Optimal-Cost Steiner Tree Approach" accepted by ICCC 2025
      C++
      0100Updated Aug 23, 2025Aug 23, 2025
    • This repository provides access to the dataset described in the paper "UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarks", along with simulation scripts for reproducibility. It includes instructions for dataset acquisition, code for channel modeling, and benchmarking tools used in the study.
      Jupyter Notebook
      1310Updated Aug 13, 2025Aug 13, 2025
    • 0000Updated Feb 18, 2025Feb 18, 2025
    • Qedgix

      Public
      Shell
      12820Updated Dec 13, 2024Dec 13, 2024
    • Python
      0000Updated Aug 25, 2024Aug 25, 2024
    • 1000Updated Jun 3, 2024Jun 3, 2024
    • DTA-RL

      Public
      Python
      4800Updated Mar 14, 2024Mar 14, 2024
    • C++
      926200Updated Jan 20, 2024Jan 20, 2024
    • 0000Updated Dec 31, 2023Dec 31, 2023
    • LOGNN

      Public
      This is the code for paper "Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach"
      Python
      32810Updated Oct 7, 2023Oct 7, 2023
    • AI_Course

      Public
      Jupyter Notebook
      51800Updated Jul 5, 2023Jul 5, 2023
    • LGNN-RGNN

      Public
      Python
      2700Updated Jun 23, 2023Jun 23, 2023
    • 0000Updated May 30, 2023May 30, 2023
    • .github

      Public
      0000Updated Mar 13, 2023Mar 13, 2023
    • torchMARL

      Public
      pytorch实现的一些MARL算法
      Python
      15200Updated May 4, 2021May 4, 2021