Yijing Ren

King's College School, King's College London

Papers

Total Citations

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About

Yijing Ren is an emerging researcher specializing in the intersection of wireless communications and robotics, with a particular focus on millimeter wave (mmWave) network optimization and autonomous mobile robot systems. Their work addresses one of the most compelling challenges at the frontier of next-generation connectivity: enabling industrial mobile robots to operate intelligently within complex, interference-rich wireless environments. Ren's most notable contributions center on path planning optimization for mobile robots in mmWave multi-cell networks, a domain critical to realizing the full potential of beyond fifth-generation (B5G) and sixth-generation (6G) wireless systems. By developing interference-aware algorithms that integrate joint communication and sensing capabilities, Ren's research provides practical frameworks for autonomous robots to navigate dynamically while maintaining robust wireless connectivity — a problem of growing industrial significance. Though still building their citation profile, with their 2024 publications already accumulating early recognition from the research community, Ren represents a promising voice in the rapidly evolving field of connected robotics. Their work sits at a vital crossroads of telecommunications engineering and autonomous systems, positioning them as a researcher to watch as 6G technologies move closer to real-world deployment.