shuihuoding's Stars
YyangSJ/Flexible_Precoding_Movable_Antennas
BJTU-MIMO/CF_UAV
UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems
tranlenam/cellfreeMIMOenergyefficiency
Simulation for "On the total energy efficiency of cell-free massive MIMO" by H. Q. Ngo, L.-N. Tran, T. Q. Duong, M. Matthaiou, E. G. Larsson, IEEE Trans. Green Commun. and Network., vol. 2, no. 1, pp. 25-39, Mar. 2018.
yashcao/Cell-Free-MIMO-Refs
Cell-Free MIMO 学习交流资料
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.
emilbjornson/rician-cell-free
Simulation code for “Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts,” by Özgecan Özdogan, Emil Björnson, Jiayi Zhang, IEEE Transactions on Wireless Communications, vol. 18, no. 11, pp. 5299-5315, November 2019
willyfh/uav-trajectory-planning
The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices" (IEEE Transactions on Wireless Communications 2019)
JSLee121230/Energy-Ef-cient-Data-Collection-in-UAV-Enabled-Wireless-Sensor-Network
Energy Efficient Data Collection in UAV Enabled Wireless Sensor Network in matlab
NierTwo/Nash-equilibrium-algorithm-for-UAV-communication-multi-delay
空天地通信模型的搭建和纳什均衡策略在回程链路形成的算法
Apurvasriram/UAV-assisted-Wireless-Powered-Communication-channel.
Contains derivations, code, plots and inferences derived after performing performance analysis of an UAV assisted Wireless Powered Communication channel.
SenuraHansaja/Deep-Reinforcement-Learning-for-Movement-Control-of-UAVs-in-EnvironmentMonitoring-
This is deep reinforcement learning implementation of a research paper mainly based on the wireless communication
DevMilk/UAV-Based-Cellular-Communication-Multi-Agent-DRL-Solution
UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management
dongxiaohuang/Tensorflow2.0_notes
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.
HamedHojatian/CF-mMIMO-HBF
Simulation code for "Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2022.
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.
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
emilbjornson/scalable-cell-free
Simulation code for “Scalable Cell-Free Massive MIMO Systems,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Communications, to appear.
hienquocngo/Cell-Free-Massive-MIMO-Versus-Small-Cells
shuihuoding/DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
BJTU-MIMO/cell-free-survey
zccoder/reinforcement_learning_basic_book
这是一个学习强化学习基础原理的仓库,主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码
zhuzilin/NP_ML
A tool library of classical machine learning algorithms with only numpy.