5G Network Simulation Development in NS3 combined with DQN algorithm -- 2
Budget: €30 – €250 EUR
I'm in need of a seasoned developer to help construct a 5G network simulation using the NS3 environment. The core of the simulation will be written in C++, and integration of a Deep Q-Network (DQN) AI algorithm in Python is also required. The DQN algorithm's actions should primarily concentrate on power allocation and numerologies.
Key Responsibilities:
- Develop a comprehensive 5G network simulation in NS3
- Implement a DQN AI algorithm focusing on power allocation and numerologies
- Utilize provided research papers as references for the DQN algorithm
- Document the project in MS Word and prepare a presentation in MS Powerpoint
Ideal Skills and Experience:
- Extensive experience with C++ and Python
- Proven track record in network simulation development, particularly in NS3
- Familiarity with Deep Q-Network (DQN) AI algorithms
- Ability to comprehend and apply academic research papers
- Strong documentation and presentation skills
The primary goal of this project is to evaluate the overall performance of the 5G network. While I have several reference papers to assist with the DQN algorithm, I welcome any recommendations you may have. The most critical aspect of the network's performance for this simulation is yet to be determined. Your expertise will guide this decision.
Key Responsibilities:
- Develop a comprehensive 5G network simulation in NS3
- Implement a DQN AI algorithm focusing on power allocation and numerologies
- Utilize provided research papers as references for the DQN algorithm
- Document the project in MS Word and prepare a presentation in MS Powerpoint
Ideal Skills and Experience:
- Extensive experience with C++ and Python
- Proven track record in network simulation development, particularly in NS3
- Familiarity with Deep Q-Network (DQN) AI algorithms
- Ability to comprehend and apply academic research papers
- Strong documentation and presentation skills
The primary goal of this project is to evaluate the overall performance of the 5G network. While I have several reference papers to assist with the DQN algorithm, I welcome any recommendations you may have. The most critical aspect of the network's performance for this simulation is yet to be determined. Your expertise will guide this decision.