Deep Reinforcement Learning based Resource Allocation in Dense Sliced LoRaWAN Networks. - Amine Tellache; Abdelkader Mekrache; Abbas Bradai; Ryma Boussaha; Yannis Pousset (ICCE, 2022)

Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G. - Abdelkader Mekrache; Abbas Bradai; Emmanuel Moulay; Samir Dawaliby (Veh. Commun., 2022)

Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G. - Abdelkader Mekrache; Karim Boutiba; Adlen Ksentini (GLOBECOM, 2023)

LLM-enabled Intent-driven Service Configuration for Next Generation Networks. - Abdelkader Mekrache; Adlen Ksentini (NetSoft, 2024)

Machine Learning in FCAPS: Toward Enhanced Beyond 5G Network Management. - Abdelkader Mekrache; Adlen Ksentini; Christos V. Verikoukis (IEEE Commun. Surv. Tutorials, 2024)

Intent-Based Management of Next-Generation Networks: an LLM-Centric Approach. - Abdelkader Mekrache; Adlen Ksentini; Christos V. Verikoukis (IEEE Netw., 2024)

OSS-GPT: An LLM-Powered Intent-Driven Operations Support System for 6G Networks. - Abdelkader Mekrache; Adlen Ksentini; Christos V. Verikoukis (NetSoft, 2025)

6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge. - Akram Boutouchent; Abdelkader Mekrache; Adlen Ksentini; Gereziher Adhane; João Pedro Celestino da Fonseca; Joseph McNamara; Kostas Ramantas; Marco Palena; Marius Iordache; Renato Lo Cigno; Salwa Mostafa; Swastika Roy; et al. (IEEE Veh. Technol. Mag., 2025)

On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G. - Abdelkader Mekrache; Mohamed Mekki; Adlen Ksentini; Bouziane Brik; Christos V. Verikoukis (IEEE Commun. Mag., 2025)

5G INSTRUCT Forge: An Advanced Data Engineering Pipeline for Making LLMs Learn 5G. - Azzedine Idir Ait Said; Abdelkader Mekrache; Karim Boutiba; Kostas Ramantas; Adlen Ksentini; Moufida Rahmani (IEEE Trans. Cogn. Commun. Netw., 2025)