Long Bao Le

Université du Québec à Montréal

Papers

2

Total Citations

886

H-Index

2

About

Long Bao Le is a prominent telecommunications researcher whose work sits at the intersection of next-generation wireless networks, mobile edge computing, and the Internet of Things. He is perhaps best known for his authoritative survey on Multi-Access Edge Computing (MEC) in 5G and beyond, a landmark contribution that has garnered over 846 citations and has become an essential reference for researchers and engineers navigating the rapidly evolving landscape of modern network architecture. This work comprehensively examines the fundamentals of MEC, its integration with 5G technologies, and the state-of-the-art solutions addressing the explosion of compute-intensive applications and unprecedented traffic demands that IoT deployment brings. Le's research tackles one of the central challenges of contemporary networking: bridging the gap between the limited storage and processing capabilities of end-user devices and the growing computational requirements of emerging applications. By mapping out how edge computing can be strategically deployed within 5G infrastructure, his contributions have provided both theoretical grounding and practical guidance for the field. His high citation impact reflects the broad influence his work has had across academia and industry, making him a key voice in shaping the trajectory of intelligent, distributed wireless communication systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
886
Total Citations
443
Avg Citations/Paper
🏆 Most Cited Paper
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
846 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Université du Québec à Montréal

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago