longjiao993 Goto Github PK

6g-simulation-platform

This simulation platform is presented in An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces.In this paper, we develop an open simulation platform, aimed at modeling the physical-layer electromagnetic coupling and propagation between RIS pairs. We present the platform by initially design

ad-phy-sim

The repository contains the MATLAB-based model of IEEE 802.11ad physical layer in baseband.

anti-jamming

Classify the jamming pattern and predict the action of channel selection in the future time slots

anti-jamming_usrp

Anti-jamming project based on USRPs

apprenticeship_inverse_rl

Apprenticeship Learning with Inverse Reinforcement Learning

august_mmwave

new simulation codes

bf-design-with-dl

Beamforming design with deep learning.

brainz

Brainz is an Artificial Neural Network library written in Ruby

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

computation-offloading-in-uav-enabled-edge-compuing-a-stackelberg-game-approach

source code of the paper "Computation offloading in UAV-enabled Edge Computing: A Stackelberg Game Approach" published in SENSORS

cv_nn

neural networks for wireless signal processing

ddlo

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

deep-neural-network-for-cs-based-signal-reconstruction-on-stm32-mcu-board

Compressed Sensing signal decoding with DNN oracle on STM32

deepirs

A repository for the DeepIRS project codes

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

digital-signal-processing-lecture

Digital Signal Processing - Theory and Computational Examples

dqn_pytorch

Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

droo

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

environment_aware_communications

Towards environment-aware 6G communications via channel knowledge map

fesdr-examples-vol3

Example Files for Field Expedient SDR - Volume 3

gr-equalizers

hybrid-beamforming-for-millimeter-wave-systems-using-the-mmse-criterion

The Matlab Simulation codes for Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion.

intelligent-reflecting-surface-aided-multi-user-mmwave-communications-for-coverage-enhancement

PIMRC paper Reproducible codes

isac-plm

Physical layer model of IEEE 802.11ay enhanced directional multi-gigabit (EDMG) Wireless local access network (WLAN)

lis-deeplearning

Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.

longjiao993.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

must-reading-on-isac

Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)

near-field-behavior

Simulation code for “Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces” by Emil Björnson, Luca Sanguinetti, IEEE Open Journal of the Communications Society, 2020