LLM for Networking
Project Description
Wireless communication has experienced tremendous growth in recent years, with an increasing demand for high-speed and reliable networks. To meet these demands, network optimization has become a crucial aspect. One promising approach to network optimization is the use of large language models (LLMs). This project aims to investigate the use of LLMs for network optimization. The project will involve the investigation of LLMs for various network optimization tasks, such as traffic prediction and anomaly detection, and the evaluation of their performance against traditional optimization techniques. The project will provide valuable insights into the potential of LLMs for network optimization and contribute to the development of more efficient and effective network optimization techniques.
Supervisor
SONG Shenghui
Quota
2
Course type
UROP1100
UROP2100
Applicant's Roles
The applicant will work on the application of LLMs for network optimization. For that purpose, the applicant will need to understand the basic idea of LLMs and also the operation of modern networks. The applicant will also work on the application of LLMs in certain network optimization tasks.
Applicant's Learning Objectives
1. To understand the basic concepts of LLMs.
2. To understand the operation of wireless networks.
3. To understand optimization theory.
4. To use LLMs to solve network optimization tasks.
2. To understand the operation of wireless networks.
3. To understand optimization theory.
4. To use LLMs to solve network optimization tasks.
Complexity of the project
Challenging