Qinglong Dai

Papers

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About

Qinglong Dai is a leading researcher in next-generation communication networks, with a primary focus on fiber-wireless (FiWi) infrastructures and the emerging Tactile Internet. His work addresses the critical challenge of enabling ultra-low-latency, real-time data transmission essential for human-agent-robot teamwork and immersive haptic interactions. Dai's most cited contribution, "A Latency-Aware Offloading Strategy over Fiber-Wireless (FiWi) Infrastructures for Tactile Internet Services" (2022), introduces a dynamic, latency-aware offloading framework that intelligently adapts to fluctuating network conditions. This work is pivotal for optimizing resource allocation in hybrid optical-wireless systems, ensuring the stringent delay requirements of tactile applications are met. With 4 citations, this paper has already garnered attention for its practical approach to a pressing problem in 5G-and-beyond networks. Dai’s research bridges the gap between theoretical network design and real-world deployment, making him a notable figure in advancing the infrastructure needed for the next wave of interactive, latency-sensitive services.