Mounssif Krouka | Official Website

About Me

I am an experienced research engineer with a background in wireless communications, signal processing, and machine learning. I am currently a Task leader in the SNS JU 6G Project "ADROIT6G". I collaborate with experts in academia and industry on several research projects focusing on the next generation of wireless systems (5G and beyond).

Experience:

(2023 - Present) Centre for Wireless Communications (CWC), University of Oulu

SNS JU 6G Project Task Lead

EU's Horizon Europe project "ADROIT6G": Disruptive innovations in the architecture of emerging 6G mobile networks, that will make fundamental changes to the way networks are designed, implemented, operated, and maintained

(2019 - Present) Research group: Intelligent Connectivity and Networks/Systems (ICON)

Doctoral Researcher

Doctoral thesis topic: Communication-Efficient Wireless Algorithms and Systems for Edge Artificial Intelligence
Expertise:

Machine Learning / Deep Learning for Communications
LTE, NR, and 6G standards
Radio Resource Management
Energy-Efficient Communication for Edge AI

Research projects involvements: HIGH5, INFOTECH, INTELLIOT, 5G CHAMPION, CENTRIC, ADROIT6G

(May 2022 - August 2022) QUALCOMM, ESPOO

Modem Systems Engineering Intern

Research topic: Artificial Intelligence based CSI Feedback in massive MIMO
Contributed to the development of 5G and beyond physical layer modem systems.
Evaluated the use of Artificial Intelligence (AI)/Machine Learning (ML) methods for physical layer signal processing in wireless communications.
Performed theoretical analysis and algorithm simulation.
Presented and documented the outputs of the research results.

(2017 - 2018) Centre for Wireless Communications (CWC), University of Oulu

Research Assistant

Research topics:
Spatial Multiplexing and Beamforming in 5G V2X Networks.
Initial Access in 5G mm-wave Cellular Networks: A Comparative Analysis using Hybrid Beamforming (Master thesis work).

Latest Publications

Paper title:
Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning
Authors:
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis
Abstract:
In this paper, we propose a decentralized Newtontype approach to solve ...

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Access the paper from here ->

Plain Text:
M. Krouka, A. Elgabli, C. B. Issaid and M. Bennis, "Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-7, doi: 10.1109/WCNC55385.2023.10118646.

BibTeX:
@INPROCEEDINGS{10118646, author={Krouka, Mounssif and Elgabli, Anis and Issaid, Chaouki Ben and Bennis, Mehdi}, booktitle={2023 IEEE Wireless Communications and Networking Conference (WCNC)}, title={Communication-Efficient Second-Order Newton-Type Approach for Decentralized Learning}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/WCNC55385.2023.10118646}}
Paper title:
Communication-Efficient Federated Learning: a Second Order Newton-type Method with Analog Over-the-Air Aggregation
Authors:
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis
Abstract:
Owing to their fast convergence, second-order Newton-type learning methods have ...

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Plain Text:
M. Krouka, A. Elgabli, C. B. Issaid and M. Bennis, "Communication-Efficient Federated Learning: A Second Order Newton-Type Method With Analog Over-the-Air Aggregation," in IEEE Transactions on Green Communications and Networking, vol. 6, no. 3, pp. 1862-1874, Sept. 2022, doi: 10.1109/TGCN.2022.3173420.

BibTeX:
@ARTICLE{9770933, author={Krouka, Mounssif and Elgabli, Anis and Issaid, Chaouki Ben and Bennis, Mehdi}, journal={IEEE Transactions on Green Communications and Networking}, title={Communication-Efficient Federated Learning: A Second Order Newton-Type Method With Analog Over-the-Air Aggregation}, year={2022}, volume={6}, number={3}, pages={1862-1874}, doi={10.1109/TGCN.2022.3173420}}
Paper title:
Communication-Efficient and Federated Multi-Agent Reinforcement Learning
Authors:
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis
Abstract:
In this paper, we consider a distributed reinforcement learning setting where ...

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Plain Text:
M. Krouka, A. Elgabli, C. B. Issaid and M. Bennis, "Communication-Efficient and Federated Multi-Agent Reinforcement Learning," in IEEE Transactions on Cognitive Communications and Networking, vol. 8, no. 1, pp. 311-320, March 2022, doi: 10.1109/TCCN.2021.3130993.

BibTeX:
@ARTICLE{9627728, author={Krouka, Mounssif and Elgabli, Anis and Issaid, Chaouki Ben and Bennis, Mehdi}, journal={IEEE Transactions on Cognitive Communications and Networking}, title={Communication-Efficient and Federated Multi-Agent Reinforcement Learning}, year={2022}, volume={8}, number={1}, pages={311-320}, doi={10.1109/TCCN.2021.3130993}}
Paper title:
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation
Authors:
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis
Abstract:
Split-learning (SL) has recently gained popularity due to its ...

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Plain Text:
M. Krouka, A. Elgabli, C. b. Issaid and M. Bennis, "Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation," 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685045.

BibTeX:
@INPROCEEDINGS{9685045, author={Krouka, Mounssif and Elgabli, Anis and Issaid, Chaouki ben and Bennis, Mehdi}, booktitle={2021 IEEE Global Communications Conference (GLOBECOM)}, title={Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation}, year={2021}, volume={}, number={}, pages={1-6}, doi={10.1109/GLOBECOM46510.2021.9685045}}
Paper title:
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels
Authors:
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis
Abstract:
Today’s intelligent applications can achieve high performance accuracy ...

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Plain Text:
M. Krouka, A. Elgabli, C. B. Issaid and M. Bennis, "Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels," 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Helsinki, Finland, 2021, pp. 1173-1178, doi: 10.1109/PIMRC50174.2021.9569707.

BibTeX:
@INPROCEEDINGS{9569707, author={Krouka, Mounssif and Elgabli, Anis and Issaid, Chaouki Ben and Bennis, Mehdi}, booktitle={2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)}, title={Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels}, year={2021}, volume={}, number={}, pages={1173-1178}, doi={10.1109/PIMRC50174.2021.9569707}}
Paper title:
Maximum Allowable Transfer Interval Aware Scheduling for Wireless Remote Monitoring
Authors:
Mounssif Krouka, Anis Elgabli, Mehdi Bennis
Abstract:
In this paper, we tackle the problem of remote monitoring (e.g., remote factory) ...

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Plain Text:
M. Krouka, A. Elgabli and M. Bennis, "Maximum Allowable Transfer Interval Aware Scheduling for Wireless Remote Monitoring," 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020, pp. 1-6, doi: 10.1109/WCNC45663.2020.9120636.

BibTeX:
@INPROCEEDINGS{9120636, author={Krouka, Mounssif and Elgabli, Anis and Bennis, Mehdi}, booktitle={2020 IEEE Wireless Communications and Networking Conference (WCNC)}, title={Maximum Allowable Transfer Interval Aware Scheduling for Wireless Remote Monitoring}, year={2020}, volume={}, number={}, pages={1-6}, doi={10.1109/WCNC45663.2020.9120636}}
Paper title:
Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks
Authors:
Anis Elgabli, Hamza Khan, Mounssif Krouka, Mehdi Bennis
Abstract:
Age of Information (AoI) measures the freshness of the information ...

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Plain Text:
A. Elgabli, H. Khan, M. Krouka and M. Bennis, "Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks," 2019 IEEE Symposium on Computers and Communications (ISCC), Barcelona, Spain, 2019, pp. 1-6, doi: 10.1109/ISCC47284.2019.8969641.

BibTeX:
@INPROCEEDINGS{8969641, author={Elgabli, Anis and Khan, Hamza and Krouka, Mounssif and Bennis, Mehdi}, booktitle={2019 IEEE Symposium on Computers and Communications (ISCC)}, title={Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks}, year={2019}, volume={}, number={}, pages={1-6}, doi={10.1109/ISCC47284.2019.8969641}}

Hello, I'm
Mounssif Krouka,

I Conduct Research in

About Me

Experience:

Latest Publications

Contact Information

Email

Hello, I'mMounssif Krouka,

I Conduct Research in

About Me

Experience:

Latest Publications

Contact Information

Email

Hello, I'm
Mounssif Krouka,