Jan Oksanen

Aalto University

Papers

2

Total Citations

14

H-Index

2

About

Jan Oksanen is a researcher whose work bridges wireless communications and robotics, with a primary focus on cognitive radio networks. His key research areas include opportunistic routing, delay-aware communication protocols, and the application of potential field methods—traditionally used in robot navigation—to solve complex routing challenges in dynamic wireless environments. Oksanen’s major contribution lies in pioneering a novel framework that draws a direct analogy between packet routing in cognitive radio networks and obstacle avoidance in robotics. By modeling primary user activity as obstacles and secondary users as navigating agents, he developed potential field-based routing algorithms that enable adaptive, interference-aware path selection. His most cited work, "Robotics Inspired Opportunistic Routing for Cognitive Radio Using Potential Fields" (2015, 12 citations), introduces this general framework, while his follow-up paper, "Minimizing the routing delay in cognitive radios using potential fields" (2015, 2 citations), extends the approach to optimize for latency. Though his citation counts are modest, Oksanen’s work is notable for its creative interdisciplinary synthesis, offering a fresh perspective on spectrum sharing that could inspire future research in autonomous, self-organizing wireless networks.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robotics Inspired Opportunistic Routing for Cognitive Radio Using Potential Fields
12 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Aalto University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago