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Karim Boutiba
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2020 – today
- 2025
[j7]Salim El Ghalbzouri
, Karim Boutiba
, Adlen Ksentini
, Mustapha Benjillali
:
Neural-Driven Control of RIS in 6G Networks: A GoSimRIS and xApp-Based Framework. IEEE Netw. Lett. 7(1): 1-5 (2025)
[j6]Azzedine Idir Ait Said
, Abdelkader Mekrache
, Karim Boutiba
, Kostas Ramantas
, Adlen Ksentini
, Moufida Rahmani:
5G INSTRUCT Forge: An Advanced Data Engineering Pipeline for Making LLMs Learn 5G. IEEE Trans. Cogn. Commun. Netw. 11(2): 974-986 (2025)
[c13]Jerold Kingston Gnanasekaran, Karim Boutiba, Adlen Ksentini:
Greening 5G : Empowering Dynamic DRX with Deep Reinforcement Learning and O-RAN. WCNC 2025: 1-2
[i1]Sefa Kayraklik, Ali Fuat Sahin, Onur Salan, Recep A. Tasci, Recep Vural, Yusuf Islam Tek, Ertugrul Basar, Ibrahim Hökelek, Ali Gorcin, Karim Boutiba, Adlen Ksentini:
ORIX: Orchestration of RIS with xApps for Smart Wireless Factory Environments. CoRR abs/2510.17462 (2025)- 2024
[j5]Karim Boutiba
, Miloud Bagaa
, Adlen Ksentini
:
Multi-Agent Deep Reinforcement Learning to Enable Dynamic TDD in a Multi-Cell Environment. IEEE Trans. Mob. Comput. 23(5): 6163-6177 (2024)
[c12]Akram Boutouchent, Karim Boutiba, Adlen Ksentini:
Budget-Aware Resource Pricing in Cloud and Edge Computing Continuum. CNSM 2024: 1-7
[c11]Giulio Carota, Karim Boutiba, Adlen Ksentini:
On Using the Edge Application Server Discovery Function to Enforce Edge Computing in 5G Networks and Beyond. ICC 2024: 4924-4929
[c10]Tuan Tran
, Dylan Gageot
, Christoph Neumann
, Guillaume Bichot
, Abderrahmen Tlili
, Karim Boutiba
, Adlen Ksentini
:
On Demand Bandwidth Boost: Improving video streaming over cellular networks with Network APIs. MHV 2024: 92-93
[c9]Tuan Tran
, Dylan Gageot
, Christoph Neumann
, Guillaume Bichot
, Abderrahmen Tlili
, Karim Boutiba
, Adlen Ksentini
:
On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming. NOSSDAV 2024: 43-49- 2023
[j4]Karim Boutiba
, Miloud Bagaa, Adlen Ksentini:
Optimal radio resource management in 5G NR featuring network slicing. Comput. Networks 234: 109937 (2023)
[c8]Abdelkader Mekrache, Karim Boutiba, Adlen Ksentini:
Combining Network Data Analytics Function and Machine Learning for Abnormal Traffic Detection in Beyond 5G. GLOBECOM 2023: 1204-1209
[c7]Karim Boutiba, Adlen Ksentini:
On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR. ICC 2023: 6218-6223
[c6]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On enabling 5G Dynamic TDD by leveraging Deep Reinforcement Learning and O-RAN. NOMS 2023: 1-3- 2022
[j3]Karim Boutiba
, Adlen Ksentini, Bouziane Brik
, Yacine Challal
, Amar Balla:
NRflex: Enforcing network slicing in 5G New Radio. Comput. Commun. 181: 284-292 (2022)
[j2]Sagar Arora
, Karim Boutiba, Mohamed Mekki, Adlen Ksentini:
A 5G Facility for Trialing and Testing Vertical Services and Applications. IEEE Internet Things Mag. 5(4): 150-155 (2022)
[j1]Bouziane Brik
, Karim Boutiba
, Adlen Ksentini
:
Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges. IEEE Open J. Commun. Soc. 3: 228-250 (2022)
[c5]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On using Deep Reinforcement Learning to reduce Uplink Latency for uRLLC services. GLOBECOM 2022: 407-412
[c4]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Radio Resource Management in Multi-numerology 5G New Radio featuring Network Slicing. ICC 2022: 359-364
[c3]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
On enabling 5G dynamic TDD by leveraging deep reinforcement learning and O-RAN: demo. MobiHoc 2022: 287-288- 2021
[c2]Miloud Bagaa, Karim Boutiba, Adlen Ksentini:
On using Deep Reinforcement Learning to dynamically derive 5G New Radio TDD pattern. GLOBECOM 2021: 1-6
[c1]Karim Boutiba, Miloud Bagaa, Adlen Ksentini:
Radio Link Failure Prediction in 5G Networks. GLOBECOM 2021: 1-6
Coauthor Index

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last updated on 2025-11-18 23:05 CET by the dblp team
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