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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.
Boutin, V., Mellah, H., Wetté, C., & Sanso, B. (2021, October). Simulating Large-Scale 5G Networks [Paper]. 4th IEEE 5G World Forum (5GWF 2021), Montreal, Qc, Canada. External link
Cadiou, L., Mellah, H., Kohlert, S., & Sanso, B. (2025, September). A Spectrum Slicing Method to Reduce Fragmentation and Blocking in EON [Paper]. 16th International Conference on Network of the Future (NoF 2025), Montreal, QC, Canada. External link
Firouzabadi, A. D., Mellah, H., Manzanilla Salazar, O. G., Khalvandi Ilezoole, R., Therrien, V., Boutin, V., & Sanso, B. (2023). PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment. IEEE Access, 11, 56273-56286. External link
Gupta, V., Firouzabadi, A. D., Mellah, H., & Sanso, B. (2023, October). Quantifying Network Level Improvement due to Beamforming on the Performance of Large-Scale Dense Urban IoT Networks [Paper]. International ACM Symposium on Mobility Management and Wireless Access (MobiWac 2023), Montreal, Quebec, Canada (7 pages). External link
Mellah, H., Payette-Toupin, E., Lespérance, R., Kohlert, S., & Sanso, B. (2025, January). On Global Fragmentation Metrics as Proxy for Network Blocking: Correlation, Detection and Prediction [Paper]. International Conference on Information Networking (ICOIN 2025), Chiang Mai, Thailand. External link
Mellah, H., Payette-Toupin, É., Lespérance, R., Kohlert, S., & Sanso, B. (2024). On global fragmentation metrics as proxy for network blocking : correlation, detection and prediction. (Technical Report n° G-2024-57). External link
Manzanilla Salazar, O. G., Mellah, H., & Sanso, B. (2023). Recognizing Emergencies and Multi-User Behavior Patterns Using Imperfect Data From Distributed Access Points. A Non-Intrusive Proof of Concept. IEEE Access, 11, 91234-91246. Available
Malandra, F., Mellah, H., Firouzabadi, A. D., Wetté, C., & Sanso, B. (2023). A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks. IEEE Internet of Things Magazine, 6(1), 134-140. External link
Manzanilla Salazar, O. G., Mellah, H., Malandra, F., & Sanso, B. (2021, September). An algorithm for threading assignment in large-scale wireless network mobile simulations [Paper]. 25th IEEE/ACM International Symposium on Distributed Simulation and Real Time Application (DS-RT 2021), Valencia, Spain (10 pages). External link
Manzanilla Salazar, O. G., Boutin, V., Mellah, H., Wetté, C., & Sanso, B. (2021). Framework for Vertical Performance Assessment in Very Large-Scale Cellular Networks. IEEE Internet of Things Journal, 9(14), 12272-12284. External link
Manzanilla Salazar, O. G., Malandra, F., Mellah, H., Wetté, C., & Sanso, B. (2020). A machine learning framework for sleeping cell detection in a smart-city IoT telecommunications infrastructure. IEEE Access, 8, 61213-61225. Available
Manzanilla Salazar, O. G., Malandra, F., Mellah, H., Wetté, C., & Sanso, B. (2020). A machine learning framework for sleeping cell detection in a smart-city IoT telecommunications infrastructure. (Technical Report n° G-2019-70). External link
Mellah, H., & Sanso, B. (2011). Routers vs Switches, How Much More Power Do They Really Consume? A Datasheet Analysis. (Technical Report n° G-2011-85). External link
Mellah, H., & Sanso, B. (2011, June). Routers vs switches, how much more power do they really consume? A datasheet analysis [Paper]. IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2011), Lucca, Italy. External link
Mellah, H., & Sanso, B. (2009). Review of Facts, Data and Proposals for a Greener Internet. (Technical Report n° G-2009-59). External link
Mellah, H., & Sanso, B. (2009, September). Review of facts, data and proposals for a greener Internet [Paper]. 6th International Conference on Broadband Communications, Networks, and Systems, Madrid, Spain (5 pages). External link
Singh, J., Mellah, H., Kohlert, S., & Sanso, B. (2025, September). Comparative Analysis of Path-Level, and Fragmentation-as-a-Picture Methods for Blocking Prediction in Elastic Optical Networks [Paper]. 16th International Conference on Network of the Future (NoF 2025), Montreal, QC, Canada. External link
Sanso, B., & Mellah, H. (2009). On Reliability, Performance and Internet Power Consumption. (Technical Report n° G-2009-60). External link
Sanso, B., & Mellah, H. (2009, October). On reliability, performance and Internet power consumption [Paper]. 7th International Workshop on Design of Reliable Communication Networks, Alexandria, Virginia, USA. External link
Therrien, V., Mellah, H., Boutin, V., & Sanso, B. (2022). A large-scale simulator for NB-IoT. IEEE Access, 10, 68231-68239. External link
