publications

2024

1. Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research

   Bouziane Brik, Hatim Chergui, Lanfranco Zanzi, and 5 more authors

   IEEE Communications Surveys & Tutorials 2024
2. Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation

   Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui, and 5 more authors

   IEEE Open Journal of the Communications Society 2024
3. Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing

   Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, and 4 more authors

   IEEE Wireless Communications 2024
4. Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing

   Swastika Roy, Hatim Chergui, and Christos Verikoukis

   IEEE Transactions on Cognitive Communications and Networking 2024
5. Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case

   Swastika Roy, Hatim Chergui, and Christos Verikoukis

   IEEE Transactions on Vehicular Technology 2024

2023

1. 6GENABLERS: A Holistic Approach to Establish Pervasive Trust in 6G Networks

   Muhammad Asad, Adriana Fernández-Fernández, Hatim Chergui, and 4 more authors

   In 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) 2023
2. SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks

   Farhad Rezazadeh, Hatim Chergui, Luis Alonso, and 1 more author

   IEEE Wireless Communications 2023
3. Utilizing double-shadowed Rician fading over energy detector-based spectrum sensing with diversity reception

   Rahul Maurya, P.S. Chauhan, Pateshwari Singh, and 2 more authors

   AEU - International Journal of Electronics and Communications 2023
4. Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing

   Swastika Roy, Farhad Rezazadeh, Hatim Chergui, and 1 more author

   In ICC 2023 - IEEE International Conference on Communications 2023
5. Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing

   Farhad Rezazadeh, Hatim Chergui, and Josep Mangues-Bafalluy

   In 2023 IEEE International Conference on Communications Workshops (ICC Workshops) 2023
6. Clustering-Enabled Tracking Areas Design for Beyond-5G Networks: A Live Network Demo

   Brahim Aamer, Hatim Chergui, and Mustapha Benjillali

   In 2023 International Wireless Communications and Mobile Computing (IWCMC) 2023

2022

1. Toward Zero-Touch Management and Orchestration of Massive Deployment of Network Slices in 6G

   Hatim Chergui, Adlen Ksentini, Luis Blanco, and 1 more author

   IEEE Wireless Communications 2022
2. Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing

   Hatim Chergui, Luis Blanco, and Christos Verikoukis

   IEEE Transactions on Wireless Communications 2022
3. A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing

   Swastika Roy, Hatim Chergui, Luis Sanabria-Russo, and 1 more author

   In ICC 2022 - IEEE International Conference on Communications 2022
4. On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration

   Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, and 3 more authors

   IEEE Transactions on Vehicular Technology 2022
5. SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services

   Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, and 4 more authors

   IEEE Transactions on Intelligent Transportation Systems 2022

2021

1. Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing

   Hatim Chergui, Luis Blanco, Luis A. Garrido, and 4 more authors

   IEEE Network 2021
2. Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing

   Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, and 1 more author

   In ICC 2021 - IEEE International Conference on Communications 2021
3. CDF-Aware Federated Learning for Low SLA Violations in Beyond 5G Network Slicing

   Hatim Chergui, Luis Blanco, and Christos Verikoukis

   In ICC 2021 - IEEE International Conference on Communications 2021
4. A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control

   Farhad Rezazadeh, Hatim Chergui, Luis Blanco, and 2 more authors

   In 2021 IEEE Global Communications Conference (GLOBECOM) 2021
5. 5G experimentation environment for third party media services: the 5GMediaHUB project

   Apostolos Siokis, Kostas Ramantas, George Margetis, and 8 more authors

   In 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) 2021
6. Entropy-Driven Stochastic Policy for Fast Federated Learning in Beyond 5G Edge-RAN

   Brahim Aamer, Hatim Chergui, Mustapha Benjillali, and 1 more author

   In 2021 IEEE Global Communications Conference (GLOBECOM) 2021
7. MonB5G: AI/ML-Capable Distributed Orchestration and Management Framework for Network Slices

   Sławomir Kukliński, Robert Kołakowski, Lechosław Tomaszewski, and 9 more authors

   In 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom) 2021
8. Multihop Weibull-fading communications: Performance analysis framework and applications

   Abdelaziz Soulimani, Mustapha Benjillali, Hatim Chergui, and 1 more author

   Journal of the Franklin Institute 2021

   Abs

   The paper presents a comprehensive closed-form performance analysis framework for multihop communications over Weibull fading channels. This framework may be of interest in different applications in the contexts of beyond-5G (B5G) and Internet of Things (IoT) use cases. The analyzed scheme consists generally of multiple regenerative relays, and we also consider generalized high-order quadrature amplitude modulation (M-QAM) transmissions. To take into consideration the channel fading, we adopt the Weibull model for its largely flexible ability to cover different channel conditions in different application contexts. The end-to-end performance is evaluated in terms of outage probability, bit error probability (BER), symbol error probability (SER), block error rate (BLER), ergodic capacity, and energy efficiency (EE). For all the metrics, we present exact closed-form expressions—along with their asymptotic behavior—capitalizing on the powerful generalized hypergeometric functions. To illustrate the utility of the obtained analytical results, we derive two BER- and EE-optimal transmit power allocation strategies, and we discuss the resulting performance gains. The exactness of our analysis is illustrated by numerical examples, and assessed via Monte-Carlo simulations for different system and channel parameters. Finally, as a secondary contribution, and noting the increasing popularity of single and bivariate Fox’s H-function, we provide generalized Matlab codes for computing these functions which are of practical utility in many fields.

9. Power-domain non-orthogonal multiple access based full-duplex one-way wireless relaying network

   Volkan Ozduran, Nurul Huda Mahmood, and Hatim Chergui

   Transactions on Emerging Telecommunications Technologies 2021

   Abs

   Abstract This study investigates power-domain non-orthogonal multiple access based wireless information exchange process. The investigation considers a dual-hop non-regenerative full-duplex wireless one-way relaying networks in the system model, where the source terminal transmits two different types of information and subtracts the interference signal at the destination by using successive interference cancellation technique. The outage probability, error probability, achievable rate, and ergodic rate of the considered system is analytically derived. In addition, optimum power allocation coefficients and relay terminal position are determined using the optimization techniques. Monte-Carlo simulation results validate the analytical and asymptotic derivations. The derived analytical expressions are found closely in agreement with the system level numerical results.

10. Entropy-Driven Stochastic Federated Learning in Non-IID 6G Edge-RAN

    Brahim Aamer, Hatim Chergui, Mustapha Benjillali, and 1 more author

    Frontiers in Communications and Networks 2021

    Abs

    Scalable and sustainable AI-driven analytics are necessary to enable large-scale and heterogeneous service deployment in sixth-generation (6G) ultra-dense networks. This implies that the exchange of raw monitoring data should be minimized across the network by bringing the analysis functions closer to the data collection points. While federated learning (FL) is an efficient tool to implement such a decentralized strategy, real networks are generally characterized by time- and space-varying traffic patterns and channel conditions, making thereby the data collected in different points non independent and identically distributed (non-IID), which is challenging for FL. To sidestep this issue, we first introduce a new a priori metric that we call dataset entropy, whose role is to capture the distribution, the quantity of information, the unbalanced structure and the “non-IIDness” of a dataset independently of the models. This a priori entropy is calculated using a multi-dimensional spectral clustering scheme over both the features and the supervised output spaces, and is suitable for classification as well as regression tasks. The FL aggregation operations support system (OSS) server then uses the reported dataset entropies to devise 1) an entropy-based federated averaging scheme, and 2) a stochastic participant selection policy to significantly stabilize the training, minimize the convergence time, and reduce the corresponding computation cost. Numerical results are provided to show the superiority of these novel approaches.

2020

1. Big Data for 5G Intelligent Network Slicing Management

   Hatim Chergui, and Christos Verikoukis

   IEEE Network 2020
2. Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym

   Farhad Rezazadeh, Hatim Chergui, Luis Alonso, and 1 more author

   In GLOBECOM 2020 - 2020 IEEE Global Communications Conference 2020
3. OPEX-Limited 5G RAN Slicing: an Over-Dataset Constrained Deep Learning Approach

   Hatim Chergui, and Christos Verikoukis

   In ICC 2020 - 2020 IEEE International Conference on Communications (ICC) 2020
4. Offline SLA-Constrained Deep Learning for 5G Networks Reliable and Dynamic End-to-End Slicing

   Hatim Chergui, and Christos Verikoukis

   IEEE Journal on Selected Areas in Communications 2020

2019

1. Rician K -Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks

   Hatim Chergui, Mustapha Benjillali, and Mohamed-Slim Alouini

   IEEE Wireless Communications Letters 2019
2. On Physical Layer Security Over Fox’s H-Function Wiretap Fading Channels

   Long Kong, Georges Kaddoum, and Hatim Chergui

   IEEE Transactions on Vehicular Technology 2019
3. Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in Sub-6 GHz/mmWave 5G Networks

   Hatim Chergui, Kamel Tourki, Redouane Lguensat, and 3 more authors

   In 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) 2019
4. Self-Tuning Spectral Clustering for Adaptive Tracking Areas Design in 5G Ultra-Dense Networks

   Brahim Aamer, Hatim Chergui, Nouamane Chergui, and 4 more authors

   In 2019 IEEE Wireless Communications and Networking Conference (WCNC) 2019

2018

2017

1. Energy-efficient multihop schemes over Weibull-fading channels: Performance analysis and optimization

   Abdelaziz Soulimani, Mustapha Benjillali, and Hatim Chergui

   In 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) 2017

2016

1. Performance Analysis of Project-and-Forward Relaying in Mixed MIMO-Pinhole and Rayleigh Dual-Hop Channel

   Hatim Chergui, Mustapha Benjillali, and Samir Saoudi

   IEEE Communications Letters 2016

2013

1. Signal-level cooperative spatial multiplexing for uplink throughput enhancement in MIMO broadband systems

   Hatim Chergui, Tarik Ait-Idir, Mustapha Benjillali, and 1 more author

   In 2013 IEEE Wireless Communications and Networking Conference (WCNC) 2013

2011

1. Joint-over-Transmissions Project and Forward Relaying for Single Carrier Broadband MIMO ARQ Systems

   Hatim Chergui, Tarik Ait-Idir, Mustapha Benjillali, and 1 more author

   In 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring) 2011