Pengpeng Dong

Huawei Technologies (China)

Papers

1

Total Citations

11

H-Index

1

About

Pengpeng Dong is a rising researcher at the forefront of next-generation wireless communications, with a primary focus on physical-layer network coding (PNC) and its transformative applications in the Industrial Internet of Things (IIoT). His most-cited work, "PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding" (2022, 11 citations), introduces a groundbreaking framework that enables efficient message exchange between out-of-range controllers and robots via a relay. By tackling the challenge of asymmetric channel coding in PNC, Dong’s research directly addresses critical bottlenecks in industrial automation, where reliable, low-latency communication is paramount. His contributions extend beyond theory, offering practical solutions for real-world IIoT deployments, such as smart factories and autonomous systems. With a focus on channel-coded asymmetric PNC, Dong bridges the gap between fundamental network coding principles and industrial scalability. His work has already garnered attention for its potential to enhance throughput and robustness in resource-constrained environments. As a promising scholar, Dong is shaping the future of wireless industrial networks, making him a key figure to watch in the evolving landscape of IoT and 5G/6G technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
PNC Enabled IIoT: A General Framework for Channel-Coded Asymmetric Physical-Layer Network Coding
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Huawei Technologies (China)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago