Tracyland

Tracyland's Stars

• hacksider/Deep-Live-Cam

  real time face swap and one-click video deepfake with only a single image

  Language:Python38.6k5.6k

• chenhui07c8/Radio_Localization

  Channel modeling, performance analysis, localization and optimization algorithm for 5G/6G (mmWave/THz) localization and sensing

  Language:MATLAB5816

• HaoLei-tnunder/Uplink-Performance-of-Cell-Free-Extremely-Large-Scale-MIMO-Systems

  Language:MATLAB135

• ahmedelzanaty/XLMIMO_Model_Mismatch_Analysis

  1

• Internet-of-Vehicles-Code/Security_in_Vehicular_Networks_and_Autonomous_Driving

  191

• Xuezhenggdut/Paper_with_code_for_communication_and_network

  Here is a repository for conference papers on open-source code related to communication and networks.

  606

• ken0225/RIS-Codes-Collection

  RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.

  1.1k228

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python91.8k9.6k

• YUNA-dBu/bb84-decoy-lab

  Language:MATLAB1

• LoveLast/QKD-Simulation

  Simulation MATLAB codes for BB84 and MDI-QKD with decoy states

  Language:MATLAB182

• EdwardCooler/3DTrackPrediction

  改进粒子滤波的无人机三维航迹预测方法

  Language:MATLAB273

• emilbjornson/IRS-modeling

  Simulation code for “Intelligent Reflecting Surfaces: Physics, Propagation, and Pathloss Modeling,” by Özgecan Özdogan, Emil Björnson, Erik G. Larsson, IEEE Wireless Communications Letters, To appear.

  Language:MATLAB6823

• ozlemtugfedemir/cell-free-book

  41

• emilbjornson/multiobjective

  Simulation code for “Multi-Objective Signal Processing Optimization: The Way to Balance Conflicting Metrics in 5G Systems” by Emil Björnson, Eduard Jorswieck, Mérouane Debbah, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 6, pp. 14-23, November 2014.

  Language:Matlab1816

• emilbjornson/massivemimobook

  Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

  Language:MATLAB342148

• SChakraborty-EC/Massive-MIMO-Matlab

  Language:MATLAB71

• 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

  Language:MATLAB2712

• oaright/massive-MIMO-antenna-selection

  大规模MIMO天线选择

  Language:Matlab13

• 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:Python5015

• 5gwireless/antenna_selection_massive_MIMO

  Antenna selection algorithms for the conventional MIMO antenna selection

  Language:MATLAB33

• RuSichPT/modelMassiveMimo

  postgraduate school

  Language:MATLAB122

• 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.

  Language:MATLAB226

• 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.

  Language:MATLAB6016

• ayushkdwivedi/Massive_MIMO

  Study the impact of number of antennas on energy and spectral efficiency of large multiuser MIMO systems.

  Language:MATLAB113

• BJTU-MIMO/CF_UAV

  UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems

  Language:MATLAB205

• IIT-Lab/Learning-Based-Power-Control-for-mmWave-Massive-MIMO-against-Jamming

  论文中包含的论文原文以及原文所涉及的简化版代码。

  Language:MATLAB2318

• ozgeozaltin/Limited-Feedback-Channel-Estimation-in-Massive-MIMO-Systems

  Today, plenty of cellular systems utilize frequency-division duplexing (FDD). Downlink training for channel state information in FDD is difficult since training and feedback overhead is proportional to the number of antennas at the base station, which is large in a Massive MIMO systems. To deal with the limited feedback mechanism of downlink channel in FDD Massive MIMO system, we can adopt the double directional model. This is applicable for the 5G systems to get high capacity and data rate. We analyse and test the performance of the Limited feedback channel with DD model via the MATLAB and we had the better performance rather than other models.

  Language:Matlab2115

• infotheorychalmers/URLLC_Massive_MIMO

  Simulation routines for "URLLC with Massive MIMO: Analysis and Design at Finite Blocklength", Johan Östman, Alejandro Lancho, Giuseppe Durisi and Luca Sanguinetti, IEEE Transactions on Wireless Communications

  Language:MATLAB1913

• yifanzhou28/UKF_EKF_Comparison_Radar_Data_Simulation

  A simple implementation to find out the performance difference between UKF and EKF

  Language:Matlab73

• ChangjingLiu/Data_Fusion_Course

  The solution of the data fusion course of SJTU. MTALAB code for KF/UKF/EKF/PF/FKF/DKF. 数据融合技术，卡尔曼滤波KF/无迹卡尔曼滤波UKF/拓展卡尔曼滤波EKF等的MATLAB实现

  Language:MATLAB6510