User-Centric Mobile Edge Computing Environments
A single/multi-agent environment for Deep Reinforcement Learning
Table of Contents
About The Project
This environment is a mixed cooperative-competitive game, which focuses on the coordination of the agents involved. Agents navigate a world and offload computing tasks to the edge computing-enabled CPU via user-centric wireless transmission.
Getting Started
Installation
Install using pip
pip install UCMEC
Or to ensure that you have the latest version:
git clone https://github.com/qlt315/UCMEC_env.git
cd UCMEC_env
pip install -e .
Usage
Create environments with the gym framework. First import
import UCMEC
Then create an environment:
env = gym.make("MA_UCMEC_env") # for multi-agent
or
env = gym.make("SA_UCMEC_env") # for single-agent
Similarly to Gym, step() function in multi-agent environment is defined as
obs, reward, done, info = env.step(actions)
Where obs, rewards, done and info are LISTS of N items (where N is the number of agents). The i'th element of each list should be assigned to the i'th agent. action space is a LIST of N*M numbers that should be executed in that step.(M is the number of actions for each agent, like offloading decision, power allocation, etc.)
Please Cite
- The paper that first uses this implementation of single-agent UCMEC environment:
@ARTICLE{9952196,
author={Qin, Langtian and Lu, Hancheng and Wu, Feng},
journal={IEEE Communications Magazine},
title={When the User-Centric Network Meets Mobile Edge Computing: Challenges and Optimization},
year={2023},
volume={61},
number={1},
pages={114-120},
doi={10.1109/MCOM.006.2200283}}
Contributing
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature) - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Contact
Langtian Qin - qlt315@mail.ustc.edu.cn
Project Link: https://github.com/qlt315/UCMEC_env
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file UCMEC-2.0.0.tar.gz.
File metadata
- Download URL: UCMEC-2.0.0.tar.gz
- Upload date:
- Size: 21.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/5.0.0 CPython/3.8.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e06d6f9cd8d399b61c9d0da985835e40ca88465829e9556d7f17a8b681ad515
|
|
| MD5 |
6ccc66835d6a984aae0a8e5c1bfb969b
|
|
| BLAKE2b-256 |
f9b779722c85892205ee393c3eee2279be4196158d8cfce326aacb2238dfe39e
|