---
# System prepended metadata

title: Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning
tags: [Paper]

---

# Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning

###### tags: `Paper`

## Abstract
- (CSMA/CA) 是 IEEE 802.11 的主幹 MAC 協議網絡

## Introduction

## System Model
1. Markov Decision Process and Monte Carlo Reward Estimation Method
![](https://i.imgur.com/lAYtVIq.png)
![](https://i.imgur.com/RZgEFra.png)
![](https://i.imgur.com/43UeVkI.png)

2. Reinforcement Learning

3. Semi-gradient Algorithm in Deep Learning

4. Federated Learning and FRMA
![](https://i.imgur.com/jYxGoce.png)

## Performance Evaluation : Simulations
CPU : (Intel Core i9-9700k)
GPU : (NVIDIA GeForce GTX 2080Ti)
1. Performance review of IEEE 802.11 CSMA/CA

2. Simulation Setup
![](https://i.imgur.com/puOkRfA.png)

3. Results


## Conclusion
1. Distributed DRL
2. Each station is installed with a QNN and trained by its local information