DINWEENF

DINWEENF's Stars

• BJTU-MIMO/Power_Allocation_DDPG

  Simulation code for "Downlink Power Control for Cell-Free Massive MIMO with Deep Reinforcement Learning" by Lirui Luo, Jiayi Zhang, Shuaifei Chen, Bo Ai, and Derrick Wing Kwan Ng, IEEE Transactions on Vehicular Technology.

  Language:Python5615

• emilbjornson/MIMO-channel-estimation

  Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.

  Language:Matlab11146

• emilbjornson/cell-free-book

  Book PDF and simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.

  Language:MATLAB11347

• BJTU-MIMO/cell-free-survey

  7834

• floodsung/DDPG

  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

  Language:Python557177

• BJTU-MIMO/CF-DL-Power-Control

  Simulation code for "Deep learning-based power control for uplink cell-free massive MIMO systems" by Y. Zhang, J. Zhang, Y. Jin, S. Buzzi, and B. Ai, IEEE Globecom.

  Language:MATLAB264

• emilbjornson/wireless-powered-cell-free

  Simulation code for “Joint Power Control and LSFD for Wireless-Powered Cell-Free Massive MIMO,” by Özlem Tuğfe Demir and Emil Björnson, IEEE Transactions on Wireless Communications, vol. 20, no. 3, pp. 1756-1769, March 2021.

  Language:MATLAB368

• emilbjornson/power-allocation-cell-free

  Simulation code for “Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems,” by Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova, IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp. 174-188, Jan. 2023

  Language:Python7318

• zongmingyi/NS-DTRA

  4

• bhli168/MDD_GNN

  Language:Python142

• tensorflow/gan

  Tooling for GANs in TensorFlow

  Language:Jupyter Notebook946248

• phamqv/WOA_5G_Communications

  This repository includes the same codes for my paper "Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks"

  Language:MATLAB7714

• utcsilab/score-based-channels

  Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.

  Language:Python7625

• Cyclotron2333/Task-Offloading-and-Resource-Allocation-for-Multi-Server-Mobile-Edge-Computing-Networks

  Language:MATLAB25444

• mobinets/task-offloading-edge-computing

  Simulation code for multi-user offloading in edge computing newtorks

  Language:MATLAB27059

• davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

  Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

  Language:Python336101

• hliangzhao/Edge-Computing-Codes

  Algorithm implementation for my Edge Computing-related papers.

  Language:MATLAB20056

• PracticalDL/Practical-Deep-Learning-Book

  Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

  Language:Jupyter Notebook756315

• swordest/mec_drl

  Deep reinforcement learning for mobile edge computing

  Language:Jupyter Notebook365127

• OlgaChukhno/Placement-of-Social-Digital-Twins-at-the-Edge-for-Beyond-5G-IoT-Networks

  Simulation codes an optimal solution for the social-aware placement of IoT digital twins (DTs) at the network edge.

  Language:AMPL2

• le-liang/MARLspectrumSharingV2X

  Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

  Language:Python24394