Tien‐Tung Nguyen
Papers
1
Total Citations
66
H-Index
1
About
Tien-Tung Nguyen is a rising researcher at the intersection of wireless communications, the Internet of Things (IoT), and artificial intelligence. His work centers on enabling reliable, energy-efficient connectivity for next-generation networks, with a particular focus on cognitive radio and short-packet communications. In his most-cited work (66 citations), Nguyen tackled the challenge of supporting ultra-reliable low-latency communication in wireless-powered cognitive IoT networks, a critical enabler for applications like small factory automation. By integrating deep learning for performance evaluation, he demonstrated how AI can optimize complex, multi-user systems where devices harvest energy from dedicated sources. This contribution not only advances the theoretical understanding of short-packet transmissions but also provides practical frameworks for deploying self-sustaining IoT networks. Nguyen’s research is notable for bridging the gap between rigorous performance analysis and intelligent, data-driven solutions, making him a key voice in the evolution of green, intelligent wireless systems. His work continues to influence how we design networks that are both cognitively aware and energy-autonomous.
Research Focus
Key Achievements
Top Papers
- 1