Fangqing Tan
Papers
1
Total Citations
2
H-Index
1
About
Fangqing Tan is a rising researcher whose work is shaping the future of 5G and beyond wireless communications, with a particular focus on enabling ultra-reliable low-latency communications (URLLC) for the Internet of Things (IoT). Her major contribution lies in pioneering the integration of Rate Splitting Multiple Access (RSMA) with cell-free massive MIMO architectures—a novel combination designed to meet the stringent demands of mission-critical IoT applications in smart factories and intelligent transportation. Her 2024 paper on this topic, already garnering 2 citations, demonstrates how RSMA can dramatically improve spectral efficiency and reliability in decentralized network deployments. This work is especially notable for addressing the dual challenge of high throughput and low latency that plagues current network designs. By proposing a framework that leverages the interference management capabilities of RSMA within the flexible cell-free structure, Tan provides a scalable solution for the next generation of wireless systems. Her research not only advances theoretical understanding but also offers practical pathways for deploying URLLC services in dense, dynamic environments, marking her as a promising voice in the evolution of 6G networks.
Research Focus
Key Achievements
Top Papers
- 1