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Hatim Chergui
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2020 – today
- 2024
- [j16]Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui, Josep Mangues, Mehdi Bennis, Dusit Niyato, Houbing Song, Lingjia Liu:
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation. IEEE Open J. Commun. Soc. 5: 6239-6260 (2024) - [j15]Swastika Roy, Hatim Chergui, Christos V. Verikoukis:
Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case. IEEE Trans. Veh. Technol. 73(7): 10529-10538 (2024) - [j14]Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Josep Mangues, Houbing Song, Walid Saad, Mehdi Bennis:
Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing. IEEE Wirel. Commun. 31(5): 192-199 (2024) - [j13]Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis:
SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. IEEE Wirel. Commun. 31(5): 224-230 (2024) - [i20]Swastika Roy, Hatim Chergui, Adlen Ksentini, Christos V. Verikoukis:
Federated Machine Reasoning for Resource Provisioning in 6G O-RAN. CoRR abs/2406.06128 (2024) - [i19]Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui, Josep Mangues, Mehdi Bennis, Dusit Niyato, Houbing Song, Lingjia Liu:
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation. CoRR abs/2407.10186 (2024) - 2023
- [j12]Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, Hatim Chergui, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis:
SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services. IEEE Trans. Intell. Transp. Syst. 24(7): 7653-7663 (2023) - [j11]Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Hatim Chergui, Xavier Costa-Pérez, Christos V. Verikoukis:
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration. IEEE Trans. Veh. Technol. 72(3): 3473-3487 (2023) - [c18]Muhammad Asad, Adriana Fernández-Fernández, Hatim Chergui, Maxime Compastié, Mario Montagud, Sergi Fernández, Shuaib Siddiqui:
6GENABLERS: A Holistic Approach to Establish Pervasive Trust in 6G Networks. CAMAD 2023: 55-60 - [c17]Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy:
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. ICC Workshops 2023: 1026-1031 - [c16]Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis:
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. ICC 2023: 1238-1243 - [c15]Brahim Aamer, Hatim Chergui, Mustapha Benjillali:
Clustering-Enabled Tracking Areas Design for Beyond-5G Networks: A Live Network Demo. IWCMC 2023: 375-379 - [i18]Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy:
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. CoRR abs/2303.15000 (2023) - [i17]Bouziane Brik, Hatim Chergui, Lanfranco Zanzi, Francesco Devoti, Adlen Ksentini, Muhammad Shuaib Siddiqui, Xavier Costa-Pérez, Christos V. Verikoukis:
A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions. CoRR abs/2307.00319 (2023) - [i16]Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis:
SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. CoRR abs/2307.01658 (2023) - [i15]Swastika Roy, Hatim Chergui, Christos V. Verikoukis:
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing. CoRR abs/2307.09494 (2023) - [i14]Swastika Roy, Hatim Chergui, Christos V. Verikoukis:
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case. CoRR abs/2307.12903 (2023) - [i13]Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis:
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. CoRR abs/2309.13325 (2023) - [i12]Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Josep Mangues, Houbing Song, Walid Saad, Mehdi Bennis:
Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing. CoRR abs/2312.07362 (2023) - 2022
- [j10]Hatim Chergui, Luis Blanco, Christos V. Verikoukis:
Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing. IEEE Trans. Wirel. Commun. 21(3): 2066-2076 (2022) - [j9]Hatim Chergui, Adlen Ksentini, Luis Blanco, Christos V. Verikoukis:
Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G. IEEE Wirel. Commun. 29(1): 86-93 (2022) - [c14]Swastika Roy, Hatim Chergui, Luis Sanabria-Russo, Christos V. Verikoukis:
A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing. ICC 2022: 4269-4274 - [i11]Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis:
Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. CoRR abs/2201.08985 (2022) - [i10]Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis:
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. CoRR abs/2201.08990 (2022) - [i9]Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Hatim Chergui, Xavier Costa-Pérez, Christos V. Verikoukis:
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration. CoRR abs/2211.03088 (2022) - 2021
- [j8]Volkan Özduran, Nurul Huda Mahmood, Hatim Chergui:
Power-domain non-orthogonal multiple access based full-duplex one-way wireless relaying network. Trans. Emerg. Telecommun. Technol. 32(10) (2021) - [j7]Abdelaziz Soulimani, Mustapha Benjillali, Hatim Chergui, Daniel B. da Costa:
Multihop Weibull-fading communications: Performance analysis framework and applications. J. Frankl. Inst. 358(15): 8012-8044 (2021) - [j6]Hatim Chergui, Luis Blanco, Luis A. Garrido, Kostas Ramantas, Slawomir Kuklinski, Adlen Ksentini, Christos V. Verikoukis:
Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing. IEEE Netw. 35(6): 43-49 (2021) - [c13]Brahim Aamer, Hatim Chergui, Mustapha Benjillali, Christos V. Verikoukis:
Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN. GLOBECOM 2021: 1-6 - [c12]Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis:
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. GLOBECOM 2021: 1-6 - [c11]Hatim Chergui, Luis Blanco, Christos V. Verikoukis:
CDF-Aware Federated Learning for Low SLA Violations in Beyond 5G Network Slicing. ICC 2021: 1-6 - [c10]Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis:
Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. ICC 2021: 1-6 - [c9]Apostolos Siokis, Kostas Ramantas, George Margetis, Constantine Stephanidis, Loizos Christofi, Kostis E. Tzanettis, Håkon Lønsethagen, Ioannis Markopoulos, Luis Sanabria-Russo, Hatim Chergui, Christos V. Verikoukis:
5G experimentation environment for third party media services: the 5GMediaHUB project. MeditCom 2021: 1-6 - [c8]Slawomir Kuklinski, Robert Kolakowski, Lechoslaw Tomaszewski, Luis Sanabria-Russo, Christos V. Verikoukis, Cao-Thanh Phan, Lanfranco Zanzi, Francesco Devoti, Adlen Ksentini, Christos Tselios, George Tsolis, Hatim Chergui:
MonB5G: AI/ML-Capable Distributed Orchestration and Management Framework for Network Slices. MeditCom 2021: 29-34 - [i8]Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis:
Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. CoRR abs/2101.06617 (2021) - [i7]Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis:
Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning. CoRR abs/2101.06654 (2021) - 2020
- [j5]Hatim Chergui, Christos V. Verikoukis:
Offline SLA-Constrained Deep Learning for 5G Networks Reliable and Dynamic End-to-End Slicing. IEEE J. Sel. Areas Commun. 38(2): 350-360 (2020) - [j4]Hatim Chergui, Christos V. Verikoukis:
Big Data for 5G Intelligent Network Slicing Management. IEEE Netw. 34(4): 56-61 (2020) - [c7]Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis:
Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. GLOBECOM 2020: 1-6 - [c6]Hatim Chergui, Christos V. Verikoukis:
OPEX-Limited 5G RAN Slicing: an Over-Dataset Constrained Deep Learning Approach. ICC 2020: 1-6
2010 – 2019
- 2019
- [j3]Long Kong, Georges Kaddoum, Hatim Chergui:
On Physical Layer Security Over Fox's H-Function Wiretap Fading Channels. IEEE Trans. Veh. Technol. 68(7): 6608-6621 (2019) - [j2]Hatim Chergui, Mustapha Benjillali, Mohamed-Slim Alouini:
Rician ${K}$ -Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks. IEEE Wirel. Commun. Lett. 8(2): 428-431 (2019) - [c5]Hatim Chergui, Kamel Tourki, Redouane Lguensat, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in Sub-6 GHz/mmWave 5G Networks. IWCMC 2019: 2031-2035 - [c4]Brahim Aamer, Hatim Chergui, Nouamane Chergui, Kamel Tourki, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks. WCNC 2019: 1-5 - [i6]Brahim Aamer, Hatim Chergui, Nouamane Chergui, Kamel Tourki, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks. CoRR abs/1902.01342 (2019) - 2018
- [i5]Hatim Chergui, Mustapha Benjillali, Mohamed-Slim Alouini:
Rician K-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks. CoRR abs/1804.08101 (2018) - [i4]Long Kong, Georges Kaddoum, Hatim Chergui:
On Physical Layer Security over Fox's H-Function Wiretap Fading Channels. CoRR abs/1808.03343 (2018) - [i3]Hatim Chergui, Kamel Tourki, Redouane Lguensat, Mustapha Benjillali, Christos V. Verikoukis, Mérouane Debbah:
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in sub-6 GHz/mmWave 5G Networks. CoRR abs/1809.01583 (2018) - 2017
- [c3]Abdelaziz Soulimani, Mustapha Benjillali, Hatim Chergui:
Energy-efficient multihop schemes over Weibull-fading channels: Performance analysis and optimization. IWCMC 2017: 2009-2014 - 2016
- [j1]Hatim Chergui, Mustapha Benjillali, Samir Saoudi:
Performance Analysis of Project-and-Forward Relaying in Mixed MIMO-Pinhole and Rayleigh Dual-Hop Channel. IEEE Commun. Lett. 20(3): 610-613 (2016) - [i2]Hatim Chergui, Mustapha Benjillali, Samir Saoudi:
Performance Analysis of Project-and-Forward Relaying in Mixed MIMO-Pinhole and Rayleigh Dual-Hop Channel. CoRR abs/1602.05445 (2016) - [i1]Abdelaziz Soulimani, Mustapha Benjillali, Hatim Chergui, Daniel Benevides da Costa:
Performance Analysis of M-QAM Multihop Relaying over mmWave Weibull Fading Channels. CoRR abs/1610.08535 (2016) - 2013
- [c2]Hatim Chergui, Tarik Ait-Idir, Mustapha Benjillali, Samir Saoudi:
Signal-level cooperative spatial multiplexing for uplink throughput enhancement in MIMO broadband systems. WCNC 2013: 3535-3539 - 2011
- [c1]Hatim Chergui, Tarik Ait-Idir, Mustapha Benjillali, Samir Saoudi:
Joint-over-Transmissions Project and Forward Relaying for Single Carrier Broadband MIMO ARQ Systems. VTC Spring 2011: 1-5
Coauthor Index
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