1 citations · 1 across the 4 of their papers we have counts for
4 papers
Towards End-to-End Network Intent Management with Large Language Models
Lam Dinh, Sihem Cherrared, Xiaofeng Huang +1
Large Language Models (LLMs) are likely to play a key role in Intent-Based Networking (IBN) as they show remarkable performance in interpreting human language as well as code gener…
Safe Load Balancing in Software-Defined-Networking
Lam Dinh, Pham Tran Anh Quang, Jérémie Leguay
High performance, reliability and safety are crucial properties of any Software-Defined-Networking (SDN) system. Although the use of Deep Reinforcement Learning (DRL) algorithms ha…
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
Lam Dinh, Pham Tran Anh Quang, Jérémie Leguay
Deep Reinforcement Learning (DRL) algorithms have recently made significant strides in improving network performance. Nonetheless, their practical use is still limited in the absen…
Towards URLLC with Proactive HARQ Adaptation
Lam Ngoc Dinh, Ibtissam Labriji, Mickael Maman +1
In this work, we propose a dynamic decision maker algorithm to improve the proactive HARQ protocol for beyond 5G networks. Based on Lyapunov stochastic optimization, our adaptation…