Cunhua Pan

Queen Mary University of London

Papers

3

Total Citations

214

H-Index

3

About

Cunhua Pan is a leading researcher in the field of wireless communications, with a primary focus on ultra-reliable and low-latency communication (URLLC) for next-generation networks. His work is pivotal in enabling the Fourth Industrial Revolution, particularly through massive MIMO-enabled IIoT networks for factory automation. Pan’s major contributions include developing innovative resource allocation strategies that jointly optimize pilot and payload power, as well as blocklength, to meet the stringent reliability (e.g., 10⁻⁵ outage) and latency requirements of 5G mission-critical IoT systems. His most cited paper, “Joint Pilot and Payload Power Allocation for Massive-MIMO-Enabled URLLC IIoT Networks” (2020), has garnered 183 citations, reflecting its significant impact on both academia and industry. Additionally, his 2019 papers on resource allocation and power-blocklength optimization for URLLC in factory automation scenarios have laid foundational groundwork for practical deployment. Pan’s research addresses the infancy-stage challenges of URLLC, offering scalable solutions that bridge the gap between theoretical performance and real-world industrial applications. His work is essential reading for students and engineers advancing 5G and beyond.

Research Focus

Key Achievements

3
H-Index
3
Papers
214
Total Citations
71
Avg Citations/Paper
🏆 Most Cited Paper
Joint Pilot and Payload Power Allocation for Massive-MIMO-Enabled URLLC IIoT Networks
183 citations · 2020
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Queen Mary University of London

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago