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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.
Hojatian, H., Mlika, Z., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2024). Learning energy-efficient transmitter configurations for massive MIMO beamforming. IEEE Transactions on Machine Learning in Communications and Networking, 2, 939-955. Available
Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2022). Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning. IEEE Communications Letters, 26(5), 1042-1046. External link
Najam-Ul-Islam, M., Nauman, M., Jafri, A. R., Nadal, J., Nour, C. A., & Baghdadi, A. (2021). Hardware Implementation of Overlap-Save-Based Fading Channel Emulator. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(3), 918-922. External link
Nadal, J., & Baghdadi, A. (2021). Parallel and Flexible 5G LDPC Decoder Architecture Targeting FPGA. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 29(6), 1141-1151. External link
Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2021). Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Transactions on Wireless Communications, 20(11), 7086-7099. External link
Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (2020). Overlap-Save FBMC Receivers. IEEE Transactions on Wireless Communications, 19(8), 5307-5320. External link
Nadal, J., Yaoumi, M., Dupraz, E., Guilloud, F., & Leduc-Primeau, F. (2023, September). Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders [Paper]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). External link
Brown, S., Nadal, J., & Leduc-Primeau, F. (2023, September). Low-Activity Gallager-B LDPC Decoding [Paper]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). External link
Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2022, December). Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming [Paper]. IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. External link
Hamdar, F., Nadal, J., Nour, C. A., & Baghdadi, A. (2022, June). Overlap-Save FBMC receivers for massive MIMO systems under channel impairments [Paper]. IEEE 95th Vehicular Technology Conference (VTC2022-Spring 2022), Helsinki, Finland (7 pages). External link
Dermont, D. B., Nadal, J., & Leduc-Primeau, F. (2022, June). Single-Minimum LDPC Decoding Offset Optimization Methods [Paper]. 17th Canadian Workshop on Information Theory (CWIT 2022), Ottawa, ON, Canada. External link
Nadal, J., Brown, S., Dupraz, E., & Leduc-Primeau, F. (2021, August). Towards an Accurate High-Level Energy Model for LDPC Decoders [Paper]. 11th International Symposium on Topics in Coding (ISTC 2021), Montréal, QC, Canada (6 pages). External link
Nadal, J., Fiorentino, M., Dupraz, E., & Leduc-Primeau, F. (2020, June). A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder [Paper]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, QC, Canada. External link
Nadal, J., & Baghdadi, A. (2020, September). FPGA based design and prototyping of efficient 5G QC-LDPC channel decoding [Paper]. 31st International Workshop on Rapid System Prototyping (RSP 2020). External link
Hojatian, H., Ha, V. N., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2020, June). RSSI-Based Hybrid Beamforming Design with Deep Learning [Paper]. IEEE International Conference on Communications (ICC 2020), Dublin, Ireland (6 pages). External link
