Abdelkader Mekrache

Orcid: 0000-0002-1290-8054

According to our database1, Abdelkader Mekrache authored at least 16 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DMO-GPT: An Intent-Driven Framework for Distributed 6G Management and Orchestration.
IEEE Commun. Mag., January, 2026

Generative AI for Next-Generation Intent-Based Networking in 6G. (IA générative pour les réseaux à base d'intentions de prochaine génération dans les réseaux 6G).
PhD thesis, 2026

End-to-End AI Lifecycle Management for 6G: Bridging DataOps and MLOps.
IEEE Netw. Lett., 2026

2025
5G INSTRUCT Forge: An Advanced Data Engineering Pipeline for Making LLMs Learn 5G.
IEEE Trans. Cogn. Commun. Netw., April, 2025

On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G.
IEEE Commun. Mag., April, 2025

6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge.
IEEE Veh. Technol. Mag., March, 2025

Next-Generation 6G Network Management with OSS-GPT.
Proceedings of the ACM SIGCOMM 2025 Posters and Demos, 2025

OSS-GPT: An LLM-Powered Intent-Driven Operations Support System for 6G Networks.
Proceedings of the 11th IEEE International Conference on Network Softwarization, 2025

DRL-Enabled SLO-Aware Task Scheduling for Large Language Models in 6G Networks.
Proceedings of the IEEE International Conference on Communications, 2025

AIEuroLens: Explainable AI Framework for Drift Detection applied to 5G Time-Series Data.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Intent-Based Management of Next-Generation Networks: an LLM-Centric Approach.
IEEE Netw., September, 2024

Machine Learning in FCAPS: Toward Enhanced Beyond 5G Network Management.
IEEE Commun. Surv. Tutorials, 2024

LLM-enabled Intent-driven Service Configuration for Next Generation Networks.
Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024

2023
Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G.
Veh. Commun., 2022

Deep Reinforcement Learning based Resource Allocation in Dense Sliced LoRaWAN Networks.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022


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