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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Abouaomar, A., Filali, A., Taïk, A., & Cherkaoui, S. (2024). Machine Learning Applications in CR-IoV. In Bukhari, S. H. R., Rehan, M. M., & Rehmani, M. H. (eds.), Cognitive Radio-based Internet of Vehicles (pp. 21-49). External link
Abouaomar, A., Taïk, A., Filali, A., & Cherkaoui, S. (2023). Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks. IEEE Communications Magazine, 61(2), 126-132. External link
Abouaomar, A., Cherkaoui, S., Mlika, Z., & Kobbane, A. (2022). Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach. IEEE Systems Journal, 16(4), 5357-5368. External link
Abouaomar, A., Mlika, Z., Filali, A., Cherkaoui, S., & Kobbane, A. (2021, October). A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks [Paper]. 46th IEEE Conference on Local Computer Networks (LCN 2021), Edmonton, Alberta, Canada. External link
Abouaomar, A., Cherkaoui, S., Mlika, Z., & Kobbane, A. (2021, December). Mean-field game and reinforcement learning MEC resource provisioning for SFC [Paper]. IEEE Global Communications Conference (IEEE GLOBAL 2021), Madrid, Spain. External link
Abouaomar, A., Cherkaoui, S., Mlika, Z., & Kobbane, A. (2021). Resource Provisioning in Edge Computing for Latency Sensitive Applications. IEEE Internet of Things Journal, 8(14), 11088-11099. External link
Abouaomar, A., Cherkaoui, S., Kobbane, A., & Dambri, O. A. (2019, December). A Resources Representation for Resource Allocation in Fog Computing Networks [Paper]. IEEE Global Communications Conference (GLOBECOM 2019), Waikoloa, Hi, USA (6 pages). External link
Abouaomar, A., Kobbane, A., & Cherkaoui, S. (2018, December). Matching-Game for User-Fog Assignment [Paper]. IEEE Global Communications Conference (GLOBECOM 2018), Abu Dhabi, United Arab Emirates (6 pages). External link
Dambri, O. A., Abouaomar, A., & Cherkaoui, S. (2019, April). Design Optimization of a MIMO Receiver for Diffusion-based Molecular Communication [Paper]. IEEE Wireless Communications and Networking Conference (WCNC 2019), Marrakesh, Morocco (6 pages). External link
Filali, A., Abouaomar, A., Cherkaoui, S., Kobbane, A., & Guizani, M. (2020). Multi-Access Edge Computing: A Survey. IEEE Access, 8, 197017-197046. External link
