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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Emery, J., Hasanzadeh Karkan, A., Frigon, J.-F., & Leduc-Primeau, F. (2025, September). A Foundation Model for Massive MIMO Precoding with an Adaptive Per-User Rate-Power Tradeoff [Paper]. 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2025), Istanbul, Turkiye (6 pages). External link
Hasanzadeh Karkan, A., Ibrahim, A., Frigon, J.-F., & Leduc-Primeau, F. (2025, May). A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites [Paper]. International Conference on Machine Learning for Communication and Networking (ICMLCN 2025), Barcelona, Spain. External link
Hasanzadeh Karkan, A., Hojatian, H., Frigon, J.-F., & Leduc-Primeau, F. (2024, May). SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming [Paper]. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024), Stockhom, Sweden. External link
Kasalaee, G., Hasanzadeh Karkan, A., Frigon, J.-F., & Leduc-Primeau, F. (2025, May). Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding [Paper]. International Conference on Machine Learning for Communication and Networking (ICMLCN 2025), Barcelona, Spain. External link
