Hugues Tchouankem
Papers
6
Total Citations
66
H-Index
5
About
Hugues Tchouankem is a wireless communications researcher whose work sits at the intersection of industrial networking, ultra-reliable low-latency communication (URLLC), and AI-enabled connectivity. His research primarily addresses one of the most pressing challenges in modern wireless systems: ensuring that emerging industrial applications — such as closed-loop control systems, mobile robotics, and automated guided vehicles (AGVs) — can operate dependably over wireless links with strict latency and reliability constraints. Tchouankem's most significant contributions center on Multi-Connectivity (MC) — the technique of transmitting data simultaneously across multiple communication paths. Across several highly cited works from 2020 to 2022, he systematically evaluated MC schemes across different network layers, standards including WiFi (802.11be) and LTE, and challenging real-world conditions such as heterogeneous and correlated links. His adaptive scheduling approaches demonstrate meaningful gains in latency and reliability performance, directly informing next-generation industrial wireless design. More recently, Tchouankem has advanced open, AI-ready research infrastructure by publishing detailed wireless measurement datasets from real industrial testbeds, capturing vehicle-to-vehicle and vehicle-to-infrastructure scenarios. With citations accumulating across all major contributions, his work provides both theoretical grounding and practical tools that researchers and engineers building tomorrow's connected factories continue to rely upon.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation of Multi-Connectivity Schemes for URLLC Traffic over WiFi and LTE15 citations · 2020
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