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MARL_UAV

This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks

Energy-Efficient_UAV_Communication_With_Trajectory_Optimization

SNARM-UAV-Learning

The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning

optimal_uav_placement_and_communication

This repo contains the code for the project Optimal UAV Placement and Communication.

VLCSimlutaion

Simulating Visible Light Communication Performance with Relay using Different Encoding Schemes

ls_brain

EEG signal processing and machine learning package

pytelcosim

Basing off from a 5G infrastructure with mmWave, Ultra Dense Networks, Integrated Access and Backhaul, network slicing, and users scheduling (for now), this simulator will focus on calculating throughput and delays achieved in cellular networks.

Deep-Reinforcement-Learning-for-resource-allocation-in-wireless-networks

Deep-Reinforcement-Learning-Python

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

resourceallocation

rl-wireless

RLWireless: Reinforcement learning-based resource allocation for wireless networks

DQN-Based-Power-Allocation-For-Multi-Cell-Massive-MIMO

Deep Q network-based power allocation for multi-cell massive MIMO cellular network.

uav_nw_madql_connectivity_tensorflow

Allocation of the resource blocks to the ground user for distributed UAV based cellular system with only the transfer of reward values. Additional improvement over the other setup by the use of Deep Q Learning approach.

Unmanned-Air-Vehicles-UAV-Simulator-for-Placement-and-Power-Allocation-

Unmanned Air Vehicles (UAV) Simulator with Machine Learning

Path-planning-of-UAV-group-based-on-DDQN

The objectives is to maximize the coverage rate in a specific area.

UAV

this repository contains some useful matlab simulınk files for uav sensors simulation , kalman filter propogation and autopilot implementation. equations and all mathematical model considered here is referred to this http://uavbook.byu.edu/doku.php book.

UAV_Subband_Allocation_DQN_Pytorch

Resource-allocation-and-route-plannig-for-UAVs

RL-for-scheduling-power-allocation-and-rate-adaptation

This is the code for arXiv paper REINFORCEMENT LEARNING FOR SCHEDULING, POWER CONTROL, AND RATE ADAPTATION

DDPG-UAV-Efficiency

Using DDPG agent to control UAV system with energy efficiency

UAV_DDPG

Trajectory Optimization and Computing Offloading Strategy in UAV-Assisted MEC System

UAV-DDPG

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

communication-Based-on-DL

https://github.com/zhuwenxing/Paper-with-Code-of-Wireless-communication-Based-on-DL.git

ResourceAllocationReinforcementLearning

intial version

Deep-Learning-Power-Allocation-in-Massive-MIMO

This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

Actor-Critic-Methods-Paper-To-Code

FDRL-PC-Dyspan

Deep-Reinforcment-Learning

This is the repository for the deep reinforcement learning in classic and novel wireless communication scnarios.

DRL-HAPS-UAV-Enabled-HeNets

HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理